The Lab for Cyber Threat Intelligence at VIT, Chennai was established with the support of the Department of Science and Technology (DST) under the Fund for Improvement of Science and Technology (S&T) Infrastructure (FIST) programme. It is dedicated to pioneering advancements in cybersecurity. The lab’s multifaceted objectives are designed to enhance research capabilities, develop innovative cybersecurity solutions, foster education and training, promote industry collaboration, and support national security. These comprehensive objectives aim to create a significant impact on both national and global cybersecurity landscapes.

Duration: 2022 – 2027

Fund Received: 76 Lakhs

Fund for Improvement of S&T Infrastructure

NVIDIA H100 80GB PCIe 5.0 x16 Deep Learning Server

Key Features of 2 x NVIDIA H100 80GB PCIe 5.0 x16:

NVIDIA H100 80GB PCIe 5.0 x16 Overview

The 2 x NVIDIA H100 80GB PCIe 5.0 x16 setup consists of two NVIDIA H100 GPUs, each with 80GB of memory, using the PCIe 5.0 x16 interface for high-speed communication with the system.

NVIDIA H100 GPU:

The NVIDIA H100, based on NVIDIA’s Hopper architecture (released in 2022), is designed for high-performance computing (HPC), artificial intelligence (AI), and machine learning workloads. It provides massively parallel processing capabilities and optimised performance for large-scale, compute-intensive tasks like training deep neural networks and performing complex simulations.

80GB of High-Bandwidth Memory (HBM3):

Each NVIDIA H100 has 80GB of HBM3 memory, which allows for fast storage and access to data processed by the GPU. This large memory capacity helps handle massive datasets, complex AI models, and large-scale AI training efficiently, reducing data bottlenecks in GPU-accelerated tasks.

PCIe 5.0 x16 Interface:

The PCIe 5.0 (Peripheral Component Interconnect Express 5.0) standard offers significantly higher data transfer rates than previous generations.

• PCIe 5.0 x16 ensures each GPU uses a 16-lane connection, enabling high-bandwidth communication between the GPU and the rest of the system (CPU and memory).
• This interface reduces latency and maximises GPU performance, supporting faster data throughput.

Significant Areas of Research in Linux Servers

1. AI and Deep Learning (DL) Models

• Training Large Language Models (LLMs): The H100’s power and memory enable the efficient training of massive models like GPT and other transformer-based architectures.
• Reinforcement Learning: The H100 accelerates RL training, used in robotics, gaming, autonomous vehicles, and decision-making systems.
• Vision and Natural Language Processing (NLP): Researchers use the H100 for computer vision tasks (e.g., object recognition) and NLP applications (e.g., text generation and sentiment analysis).

2. High-Performance Computing (HPC)

• Scientific Simulations: The H100 is used for simulating complex physical phenomena, such as weather patterns, climate modelling, and molecular dynamics simulations.
• Quantum Computing: The H100’s computational power aids in quantum computing research and simulations.
• Computational Chemistry: The H100 accelerates research in quantum chemistry, material science, and drug discovery.

3. Autonomous Systems and Robotics

• AI for Autonomous Vehicles: The H100 supports real-time decision-making and sensor data processing for self-driving cars.
• Robotic Motion Planning: The H100’s tensor cores accelerate object detection, motion planning, and autonomous navigation in robots.

4. Generative AI and Creativity

• Generative Models: The H100 enables research into GANs (Generative Adversarial Networks), diffusion models, and AI-generated creative content.
• AI-Assisted Design and Manufacturing: The H100 accelerates AI-driven design tools for architecture, engineering, and industrial design.

5. AI Hardware Optimization

• Energy Efficiency in AI Workloads: The H100 supports energy-efficient AI models, optimising power consumption in data centres.
• GPU Performance Tuning: Researchers work on optimising GPU hardware (e.g., memory management and multi-GPU setups) to enhance real-world AI performance.

6. Data Analytics and Big Data Processing

• Distributed Systems: The H100 is used for large-scale data processing in fields like finance, healthcare, and social media.
• Graph Analytics: High-performance graph processing algorithms (e.g., for social networks and biological networks) benefit from the H100’s high throughput.

7. Security and Cryptography

• AI in Cybersecurity: The H100 accelerates AI-powered cybersecurity, detecting and mitigating cyber threats using anomaly detection and pattern recognition.
• Cryptography and Blockchain: The H100 optimises cryptographic computations in blockchain, cryptanalysis, and security protocols.

8. Edge Computing and AI Deployment

• Edge AI: The H100 helps deploy AI models on edge devices, enabling real-time inference with low-latency processing.
• IoT and Smart Devices: The H100 contributes to AI-powered IoT systems, with applications in smart cities and industrial automation.

9. Machine Learning Infrastructure and Cloud Services

• AI Model Deployment at Scale: The H100 powers cloud-based AI infrastructure, supporting massive model deployments.
• Federated Learning: The H100 scales federated learning frameworks, ensuring data privacy in decentralised AI training.

10. Cloud Gaming and Real-Time Rendering

• Ray Tracing and Rendering: The H100 supports real-time rendering for cloud gaming and cinematic production.
• AI-Powered Content Delivery: The H100 enhances graphics processing for AI-driven content delivery and game streaming.

11. AI-Driven Healthcare

• Medical Imaging: The H100 accelerates deep learning models for medical image analysis (CT, MRI, X-rays), improving diagnostic accuracy.
• Personalised Medicine: The H100 supports AI research in genomics, enabling personalised treatment plans and drug discovery.

Drone Lab

 At VIT Chennai, our vision for the Drone Lab is centred on the dual pillars of education and research. We envision a dynamic and transformative space where students are not only equipped with a deep understanding of unmanned aerial systems but also actively contribute to cutting-edge research, propelling the boundaries of knowledge and innovation.

The Drone Lab is dedicated to providing students with a comprehensive education in UAS technology. We offer a curriculum that combines theoretical knowledge with hands-on experience, ensuring that graduates are well-prepared for the challenges of the rapidly evolving drone industry. We foster a learning environment where students acquire practical skills in drone design, operation, and programming. Through experiential learning, students gain a strong foundation that enables them to excel academically and professionally.

The Drone Lab also acts as a hub for pioneering research in UAS. We aspire to conduct cutting-edge research that addresses fundamental challenges in drone technology and explores novel applications across various domains. We promote interdisciplinary collaboration, encouraging researchers from diverse fields to come together to explore innovative solutions. By fostering a collaborative spirit, we believe our research efforts will lead to breakthroughs that have a broad impact.

Available Drones:

Quadcopter:

Purpose: This quadcopter is suitable for projects such as obstacle avoidance, path planning, indoor navigation system, etc.

Octocopter:

Purpose: This octocopter is suitable for projects with heavy payloads: aerial surveillance & cinematography, package delivery, precision agriculture applications such as spraying, etc.

All these drones are capable of manual/semi/fully autonomous flight.

 Key Activities and Research Areas:

• Training programmes on Drone design and development
• Drone Piloting and Operation Training
• Drone Hardware and Software Development Workshop
• Autonomous Navigation and Control Systems
• Sensor Integration and Payload Development
• Environmental Monitoring and Precision Agriculture

Big Data Analytics Lab is utilized by postgraduate students who are pursuing the specialization course in Big Data Analytics Lab. The students get an opportunity to practice & explore different service models of the Big Data Analytics Lab. The major focus is on training students in Open Source technologies and toolkits to develop real-time and industry-related applications. A wide range of open source projects is hosted at the Laboratory including desktop applications, browsers and programming language compilers/interpreters.

AB1 208 Lab

CASE tools known as Computer-aided software engineering tools is a kind of component-based development which allows its users to rapidly develop information systems. The main objective of case Laboratory is the automation of the entire information systems development software life cycle process using a set of integrated software tools, such as modeling, methodology and automatic code generation.

613 Lab

Cloud Computing Laboratory is utilized by post graduate students who are pursuing the specialization course in Cloud Computing and Big Data Analytics. The students get opportunity to practice and explore different service models of cloud computing. The cloud infrastructure and platform has been established to give in-depth knowledge about each of the cloud services. We explored private cloud, public cloud and open source providers. The students are able to create, deploy, and configure the virtual machines for different types of virtualization techniques. VIT Chennai campus has MoU with IBM Solutions Company. We established IBM software Excellence and utilizing the IBM tools for Laboratory sessions.

AB1 206 Lab

Cyber Physical Systems Laboratory

Ideas to Proof of Concepts

Vision

Engineering is Imagineering. The vision of Cyber Physical Systems Lab is to enable VIT student community for building their ideas into prototypes in two ticks. Such proof of concepts (PoCs) can strengthen the student’s thought process and confident level in parallel thinking for connecting engineering concepts with real-time problems which will end up with the solutions. Therefore, the students can gain knowledge in understanding industrial problems, research and development laboratory exposure and system development in the VIT Campus itself. Importantly, such environments can create an opportunity to develop the indigenous technology products of our nation.

Cyber Physical Systems Lab is equipped with the virtual instrumentation hardware systems and software tools for the fastest implementation of PoCs. An architecture of a basic embedded system is given in Figure 1.

1. CPS lab facilitates the infrastructure for developing proof of concept to the VITians using sensors, electronic circuit modules, embedded system technologies, and recent Internet-of-Things. Example: Industrial standard electrostatic discharge workspace, reference electronic circuit modules, mixed signal oscilloscopes, digital power supplies, and high-performance computing facilities.
2. To understand the basics of Embedded system concepts, CPS Lab is equipped with generic Embedded system evaluation boards like Arduino, National Instruments Engineering Laboratory Virtual Instrumentation Suite (NI ELVIS) hardware system and Embedded Device with reconfigurable Input/Output (myRIO).
3. To understand the concepts of sensors, actuators, and simple motor speed control systems, CPS lab provides sensors for measuring various modalities like distance, pressure, etc.., actuators like motors and relays, controls, and simple systems. Example Ultrasound sensors, Infrared LED, strain gauge, NI ELVIS board and daughter cards.
4. To provide hands-on experience in design and developments of embedded systems and internet of things technologies for generating human resources in this field.
5. CPS Lab is also open for discussing real time problems with industrial experts for providing solutions to the challenges and issues in Industries.

Images of CPS lab and Events

Engineering embodies the art of imagination and innovation. The overarching mission of the Cyber Physical Systems Lab is to empower the student community at VIT to translate their visionary concepts into tangible prototypes with remarkable efficiency. These proof of concepts (PoCs) serve to fortify students’ cognitive agility and self-assurance, fostering a seamless integration of engineering principles with real-world challenges, ultimately culminating in viable solutions. Consequently, students are afforded invaluable insights into comprehending industrial dilemmas, gaining exposure to research and development laboratory practices, and honing their skills in system development. Significantly, such an environment nurtures the cultivation of indigenous technological advancements.

Cyber Physical Systems Lab is equipped with the virtual instrumentation hardware systems and software tools for the fastest implementation of Proof of Concepts (PoCs) as shown below.

The CPS Lab espouses a distinct emphasis on fostering innovation and product development aimed at realizing Sustainable Development Goal 11 – Sustainable cities and communities. It provides the requisite infrastructure to VITians for conceiving proof of concepts utilizing an array of resources, including sensors, electronic circuit modules, embedded system technologies, and contemporary Internet-of-Things frameworks. Noteworthy assets encompass industrial-grade electrostatic discharge workspaces, reference electronic circuit modules, digital power supplies, and high-performance computing facilities.

To facilitate an understanding of fundamental Embedded System concepts, the CPS Lab is equipped with versatile evaluation boards such as Arduino, the National Instruments Engineering Laboratory Virtual Instrumentation Suite (NI ELVIS), and reconfigurable Embedded Devices like myRIO.

In the realm of sensors, actuators, and motor speed control systems, the CPS Lab offers an array of resources for hands-on exploration. These include sensors capable of measuring various modalities such as distance and pressure, actuators like motors and relays, as well as controls for simple systems. Exemplary assets encompass ultrasound sensors, infrared LEDs, strain gauges, the NI ELVIS board, and compatible cards.

List of IoT boards in Cyber Physical System Laboratory

A core objective of the CPS Lab is to provide students with hands-on experiences in designing and developing embedded systems and Internet-of-Things technologies, thereby nurturing a pool of adept human resources in this domain.

Furthermore, the lab boasts comprehensive support for an array of foundational IoT boards, including ESP32, NodeMCU/ESP8266, Arduino Uno, along with an extensive assortment of sensors exceeding thousands in number, facilitating the rapid prototyping of Minimum Viable Products (MVPs). This enables students to progress seamlessly from conceptualization to the realization of finished products and patenting.

The CPS Lab also serves as an avenue for engaging in discourse with industry experts, fostering collaborative endeavours aimed at devising solutions to real-time challenges and issues encountered in various industrial sectors.

Data Analytics Lab is utilized by postgraduate  students who are pursuing the specialization course in Data Analytics Lab. The students gets opportunity to practice & explore different service models of Data Analytics Lab. the students are able to create,deploy &configure the virtual machines for different types of virtualization techniques.

AB 313 Lab

Database Management System laboratory aims at facilitating and improving the usability of database concepts. Oracle 11g has installed in all systems in this laboratory. Using this Oracle 11g, students can design tables, procedures, triggers and packages. Students can develop applications using C, C++,Visual Studio 2010, .Net framework 2010 with Oracle as backend.

AB 404B

Database Management System laboratory aims at facilitating and improving the usability of database concepts. Oracle 11g has installed in all systems in this laboratory. Using this Oracle 11g, students can design tables, procedures, triggers and packages. Students can develop applications using C, C++,Visual Studio 2010, .Net framework 2010 with Oracle as backend.

AB1-614

Digital and Microprocessor laboratory aims at providing hands on session to students on digital design, 8086 Microprocessor and its interfacing and design of embedded systems using microcontrollers. The laboratory is equipped with 36 Intel Pentium systems with MASM-6.11 and Keil software enabling students to develop programs. The laboratory is also equipped with Digital trainer Kits, Microprocessor (8086) kits and Embedded (8051 and ARM) kits using which students design digital circuits, write and test assembly language programs.

AB207 Lab

Internet and Web Programming laboratory provides facilities for the students to learn web programming, design and develop web applications. Java 8 with support to run Servelet and JSP is available in the lab. Oracle 11g is installed to provide backend support for the web applications. Browsers are upgraded to support HTML 5 and recent Javascript commands. Integrated Development Environments NetBeans and MS Visual Studio 10 are also available to facilitate professional development of applications.

AB 605B Lab

This laboratory is used by the students and scholars for inventive research directions in artificial intelligence, machine learning, deep learning, reinforcement learning, explainable AI and big data analytics. This laboratory has many high-end computers that enable faster computing for various domain-specific projects. The students cultivate various developments for their internships and competitions using several software’s installed in this laboratory such as MATLAB 2021A, ANACONDA 3.6, TABLEAU and UNITY among many others.

MIDAS-Lab

This Laboratory enables the students and researchers to run experiments on multicore systems in order to evaluate the programs on performance gains. The intent is to share development techniques that are known to work effectively for multi-core processors thus resulting in reduced development costs through a shorter time-to-market and a more efficient development cycle for those employing these techniques. This Laboratory has 55 Pentium D systems.

AB210 Lab

Network Security Research Laboratory is utilized by students for HP 280G2 systems dedicated to support with fortinet firewall and develop Security related software’s. The major focus is on training students in Network based technologies and toolkits to develop real time and industry related applications.

AB 311 Lab

The Open Source Programming Laboratory is equipped with 74 Dell Optiplex systems dedicated to support and develop Open Source software. The major focus is on training students in Open Source technologies and toolkits to develop real time and industry related applications. A wide range of open source projects are hosted at the Laboratory including desktop applications, browsers and programming language compilers/interpreters. The Laboratory also makes contributions to open source community.

AB 605A

This Laboratory facilitates in developing robust applications using C, C++,Java , Perl, Python. Students can design web based applications using PHP, XAMP. Students are able to develop wireless applications using java.

AB404A Lab

This Laboratory facilitates in developing robust applications using Python, C, C++, Java and Perl. Students can design web-based applications using PHP, XAMP. Students are able to develop wireless applications using Java J2EE and J2ME Wireless kits.

AB205A Lab

This Laboratory facilitates in developing robust applications using Python, C, C++, Java and Perl. Students can design web-based applications using PHP, XAMP. Students are able to develop wireless applications using Java J2EE and J2ME Wireless kits.

AB205B Lab

The Programming Language – IV has facilitated a comprehensive set of tools that allow the students to explore different programming languages, software development methodologies, data analysis techniques, and more. The student can gain hands-on experience and apply theoretical knowledge to real-world scenarios, preparing for a wide range of careers in computer science and related fields.

A student can access a rich and diverse set of tools and software, providing opportunities to learn and work on various aspects of computer science, programming, and related fields.

Here’s a breakdown of what a student could do and learn with the installed software:

C++ (Dev. C++, Turbo C++ 3.2): Develop skills in C and C++ programming, which are widely used in software development, game development, and system programming.

Java (JDK 11): Gain expertise in Java programming for application development, web development (Java EE), and Android app development.

Python (3.10): Learn Python programming for various applications, including web development, data analysis, machine learning, and automation.

R (4.2) and R Studio: Explore statistical computing, data analysis, and visualization using R.

SQL (Oracle Server/Client 11g, MySQL 8.0, SQL PLUS): Practice database management and SQL queries using different database systems.

Microsoft Visual Studio 2022 (17.1.6) and Apache NetBeans (12.5): Develop applications using integrated development environments (IDEs) for C++, Java, and other languages.

Anaconda Navigator, Jupyter (Anaconda 3 – 64 bit): Work on data science projects and explore machine learning using Python with Jupyter notebooks.

MATLAB (R2021 9.10): Learn and practice numerical computing, data analysis, and visualization.

Notepad++: Use a versatile text editor for coding and scripting in various languages.

Tableau (23.2): Gain skills in data visualization and analytics.

Wireshark (3.6): Learn about network protocols and packet analysis for network troubleshooting and security.

yEd Graphics Editor: Create and edit diagrams and flowcharts for various purposes.

VM Workstation and Ubuntu Virtual Box: Explore virtualization, run virtual machines, and practice working with different operating systems.

MobaXterm: Use as a terminal for remote system administration and network tools.

Click Here

This Laboratory supports the creation of resilient applications using R, Python, C, C++ and Java.Students have access to Microsoft Visual Studio-an Integrated Development Environment
(IDE) tool for creating web-based and mobile applications. Students can gain proficiency in data analysis and visualization through MATLAB, and can explore server virtualization using
VMware. Students may utilize NetBeans which supports J2EE and J2ME for server-side development and JavaScript, PHP, and C/C++ for cross-platform development.

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Students have access to a wide range of tools in the Programming Language – VI lab, including programming languages, software development processes, and methods for data analysis. Students can prepare for a range of occupations in computer science and related subjects by putting their theoretical knowledge to use in real-world circumstances and earning practical experience.

Students are provided with access to a wide range of tools and software, enabling them to study and practice many aspects of computer science, programming, and related fields..

What a student could do with the installed software to create creative software is described below:

• Operating systems: Linux Mint and Windows 11 Home (64-bit) for the development and execution of operating systems processes.
• C++ (Dev. C++, Turbo C++ 3.2): Develop skills in C and C++ programming, which are widely used in software development, game development, and system programming.
• Java (JDK 11): Gain expertise in Java programming for application development, web development (Java EE), and Android app development.
• Python (3.10): Learn Python programming for various applications, including web development, data analysis, machine learning, and automation.
• R (4.2) and R Studio: Explore statistical computing, data analysis, and visualization using R.
• Microsoft Visual Studio 2022 (17.1.6) and Apache NetBeans (12.5): Develop applications using integrated development environments (IDEs) for C++, Java, and other languages.
• Anaconda Navigator, Jupyter (Anaconda 3 – 64 bit): Work on data science projects and explore machine learning using Python with Jupyter notebooks.
• MATLAB (R2021 9.10): Learn and practice numerical computing, data analysis, and visualization.
• Notepad++: Use a versatile text editor for coding and scripting in various languages.
• Tableau (23.2): Gain skills in data visualization and analytics.
• Wireshark (3.6): Learn about network protocols and packet analysis for network troubleshooting and security.
• yEd Graphics Editor: Create and edit diagrams and flowcharts for various purposes.
• VM Workstation and Virtual Box: Explore virtualization, run virtual machines, and practice working with different operating systems.
• Microsoft office 2010 and Office 365 tools for documentation purpose

AB3 – 402 Lab

The Programming Language – VII laboratory has provided students with a wide range of tools for researching, among other things, data analysis techniques, software development approaches, and programming languages. By applying theoretical knowledge to real-world circumstances and acquiring practical experience, students can prepare for a wide range of careers in computer science and other subjects.

A student is given access to a large and diverse set of tools and software, allowing them to study and practice many aspects of computer science, programming, and related fields.

The following outlines what a learner can accomplish and create creative software utilizing the installed software.:

1. Operating systems: Windows 11 home (64-bit) and Ubuntu for Operating systems process creation and execution.
2. C++ (Dev. C++, Turbo C++ 3.2): Develop skills in C and C++ programming, which are widely used in software development, game development, and system programming.
3. Java (JDK 11): Gain expertise in Java programming for application development, web development (Java EE), and Android app development.
4. Python (3.10): Learn Python programming for various applications, including web development, data analysis, machine learning, and automation.
5. R (4.2) and R Studio: Explore statistical computing, data analysis, and visualization using R.
6. Microsoft Visual Studio 2022 (17.1.6) and Apache NetBeans (12.5): Develop applications using integrated development environments (IDEs) for C++, Java, and other languages.
7. Anaconda Navigator, Jupiter (Anaconda 3 – 64 bit): Work on data science projects and explore machine learning using Python with Jupiter notebooks.
8. MATLAB (R2021 9.10): Learn and practice numerical computing, data analysis, and visualization.
9. Notepad++: Use a versatile text editor for coding and scripting in various languages.
10. Wireshark (3.6): Learn about network protocols and packet analysis for network troubleshooting and security.
11. yEd Graphics Editor: Create and edit diagrams and flowcharts for various purposes.
12. VM Workstation and Virtual Box: Explore virtualization, run virtual machines, and practice working with different operating systems.
13. Microsoft office 2010 and Office 365 tools for documentation purpose.

AB3 – 412 Lab

The Programming Language – VIII Laboratory provides students with a comprehensive set of tools to explore data analysis techniques, software development methodologies, and programming languages. By applying theoretical concepts to real-world scenarios and gaining hands-on experience, students are better prepared for diverse careers in computer science and related fields.

Students have access to a diverse and extensive range of software, enabling them to study and practice various aspects of programming, software development, and computing. The following is an outline of the installed software and its applications:

1. Operating System:
   • Windows 11 Pro for process creation and execution.
2. Microsoft Office:
   • Microsoft Office Professional Plus for documentation purposes.
3. Programming Languages and Development Tools:
   • C++ Development: Dev C++ for software development and system programming.
   • Java Development: Java JDK, Apache NetBeans, and Eclipse-inst-jre for Java application and web development.
   • Python Development: Python for web development, automation, machine learning, and data analysis.
   • Node.js: A JavaScript runtime environment for backend development.
4. Statistical Computing and Data Analysis:
   • R and RStudio for statistical computing, data visualization, and data analysis.
5. Mathematical and Scientific Computing:
   • MATLAB for numerical computing, data analysis, and algorithm development.
6. Database Management:
   • Oracle (SQL Command Line) for database management and SQL query execution.
7. Web Development and Server Management:
   • XAMPP for local web server development.
8. Networking and Security:
   • Wireshark for network protocol analysis and security monitoring.
9. Project Management and Diagramming:
   • ProjectLibre for project scheduling and management.
   • StarUML for UML diagram creation and software modeling.
10. Virtualization Tools:
    • VirtualBox and VMware Player for running virtual machines and exploring different operating systems.
11. Development Environments and Editors:
    • Microsoft Visual Studio for software development across multiple languages.
    • Anaconda Navigator and Jupyter (Anaconda) for data science, machine learning, and scientific computing.
12. Web Browsers:
    • Google Chrome and Mozilla Firefox for web development, testing, and browsing.
13. NLP Tools:
    • NLTK (Natural Language Toolkit): For natural language processing tasks such as tokenization, stemming, and text analysis.
    • SpaCy: A library for advanced NLP tasks such as named entity recognition, dependency parsing, and text classification.
    • Hugging Face Transformers: A toolset for building, training, and deploying state-of-the-art NLP models like BERT and GPT.
    • FastText: For word embeddings and text classification.
    • Gensim: For topic modeling, document similarity analysis, and word embeddings. 

This laboratory provides students with an environment conducive to learning and innovation, equipping them with the necessary tools to develop creative software solutions and gain valuable technical expertise.

AB3 611 Lab

The Programming Language – IX laboratory has provided students with a wide range of tools for research like, data analysis techniques, software development approaches, and programming languages. By applying theoretical knowledge to real-world circumstances and by acquiring practical experience, students can prepare for a wide range of careers in computer science and other subjects.

A student is given access to a large and diverse set of tools and software, allowing them to study and practice many aspects of computer science, programming, and related fields. The development of robust applications with R, Python, C, C++, and Java is supported in this lab. Microsoft Visual Studio, an Integrated Development Environment (IDE) tool for making mobile and web applications, is available to students. With MATLAB, students can become proficient in data analysis and visualization, and with VMware, they can investigate server virtualization. Students can use NetBeans, which supports JavaScript, PHP, and C/C++ for cross-platform development, as well as J2EE and J2ME for server-side development. In academic and research contexts, Wireshark is frequently used to investigate network protocols, examine network activity, and carry out network-oriented research experiments.

How a student can use the installed applications to efficiently design and produce creative software is described as follows.

• Microsoft Office Professional Plus: Use for documentation purpose.
• MATLAB: Learn and practice numerical computing, data analysis, and visualization.
• R and RSTUDIO: Explore statistical computing, data analysis, and visualization using R.
• Chrome and Firefox: Use to access websites.
• Anaconda Navigation, Jupyter: Work on data science projects and explore machine learning using Python with Jupiter notebooks.
• Oracle: Provide the connectivity required to enable seamless interaction with Oracle Database servers.
• Java Jdk: Gain expertise in Java programming for application development, web development (Java EE), and Android app development.
• Apache-Net beans: Provide editors, wizards, and templates to create applications in Java, PHP and many other languages.
• Eclipse-inst-jre: Run and debug java programs.
• C++: Develop skills in C and C++ programming, which are widely used in software development, game development, and system programming.
• Node js: Create real-time applications, web apps, and back-end applications.
• ProjectLibre: Create, manage, and track project plans by utilizing features like Gantt charts, task dependencies, resource allocation, and progress tracking.
• Python: Learn Python programming for various applications, including web development, data analysis, machine learning, and automation.
• StarUML: Create flowcharts and UML diagrams, to help with software development.
• VMware-Player and VirtualBox: Explore virtualization, run virtual machines, and practice working with different operating systems.
• Wireshark: Learn about network protocols and packet analysis for network troubleshooting and security.
• Xampp: Allow developers to test their code locally.
• Visual Studio: Develop applications using integrated development environments (IDEs) for C++ and other languages.

About the lab:
Robotics lab at VIT Chennai has been established for the students to gain the knowledge and to get exposure on simulations along with understanding the functioning of robots. Students will be made competent in understanding the basic functions of few general purpose robots and they will be allowed to implement their skills on DOBOT Magician Educational Kit and NAO humanoid robot. Sufficient numbers of LEGO EV3 Core sets are available for the students to understand the various hardware components, simulations and for the implementation. The following are the few set of experiments included in practical classes.

AIR Lab contains the following equipment in sufficient number to conduct the following experiments.
LEGO EV3 Core Set

• Obstacle sensing
• Edge finding
• Path following
• Solving Rubik’s Cube
• Cloth folding
• Chess Robot
• Musical instruments playing

DOBOT Magician is a multifunctional desktop robotic arm for practical training education

• Laser engraving
• Writing and drawing
• Scrap classifying
• Vegetable / fruit picking
• Package sorting
• AI assisted smart shopping system

NAO  – The Humanoid and Programmable Robot

Nao is a small humanoid robot designed to interact with people. It’s packed with sensors (and character) and it can walk, dance, speak, and recognize faces and objects. Now in its sixth generation, it is used in research, education, and healthcare all over the world.

Nao is an autonomous, programmable, medium-sized humanoid robot in which the architecture of control and the software are customizable. NAO was designed to walk smoothly, even when changing speed and direction. The robot has the capability of performing a rich panel of movements with smoothness and precision, and a certain degree of interactive autonomy. NAO is modular, referring to actuator modules that can be used for different joints. The head of NAO changed.

In universities or schools using NAO, students and teachers are developing projects such as: how to mimic a student’s body posture, navigate through a room or recognise objects.

In computer science, use NAO platform to discover algorithmic logics basics or teach object oriented, embedded or real time programming.  In control, use ankle to define the control law of a 2 DOF system or use NAO platform to define complex control mixing vision/motion/audio.

Scientific research is being conducted in the following areas with NAO platform: robotics, mapping, object recognition, grasping, walking, motion, autism, human machine interaction / ethics, navigation in complex indoor environments, object category recognition & detection.

At beginner level, you can redesign basic mechanical parts using NAO CAD files as well as work on torque computation or sensors study. At advanced level, students can use their math skills to perform matrix computation to work on NAO kinematics.

* Images / text is taken from relevant sources.

Hardware and Software details

The objective of the Software Engineering Laboratory is to familiarize students with the Software Development Life Cycle (SDLC) so that they are trained well in the various phases of SDLC, testing tools. Students are trained with software packages. The Laboratory has about 68 Pentium D systems. Students do various projects related to software metrics, software testing, quality assurance, software project management and software design.

AB209 Lab

Quanser Controls Board

The Quanser Controls Board is a comprehensive hardware platform designed for teaching and research in the field of control systems. It features a powerful 32-bit microcontroller, a variety of input/output (I/O) interfaces, including analog inputs, digital inputs/outputs, and communication protocols like UART, SPI, and I2C, as well as connectivity options such as USB and Ethernet. The board supports the integration of various sensors and actuators, allowing for the implementation and testing of real-time control algorithms. It is often used in conjunction with the Quanser Sensors Board and the Quanser Actuators Board to create a complete mechatronic system, and is accompanied by software development tools and programming environments, such as MATLAB/Simulink and LabVIEW, which facilitate the design, implementation, and analysis of control systems for a wide range of applications, including robotics, automation, and industrial processes.

Quanser Mechatronics System Board

The Quanser Mechatronics System Board is a comprehensive hardware platform that combines a powerful microcontroller, a variety of sensors (including position encoders, accelerometers, gyroscopes, and force/torque sensors), and different types of actuators (such as DC motors, servo motors, and stepper motors) to create a versatile system for teaching and research in mechatronics. The board provides flexible input/output (I/O) interfaces, enabling the integration of additional sensors and peripherals, and includes connectivity options like USB and Ethernet for interfacing with a host computer or other control systems. Accompanied by software development tools and programming environments, the Quanser Mechatronics System Board allows students and researchers to design, implement, and experiment with real-time control and monitoring of mechatronic systems, covering a wide range of applications in areas like robotics, automation, and system integration.

NI Roborio,battery

The NI roboRIO is a low-cost, high-performance embedded controller developed by National Instruments for use in robotics and mechatronics applications. It features a powerful 32-bit ARM Cortex-A9 processor, a reconfigurable FPGA, and a range of I/O capabilities, making it a versatile platform for real-time control, data acquisition, and signal processing.

To power the NI roboRIO, a dedicated battery is required. The recommended battery for the NI roboRIO is a 12V, 7Ah rechargeable lead-acid battery. This battery provides the necessary voltage and current to operate the roboRIO and any connected sensors or actuators. The battery is typically mounted on the robot or in a dedicated enclosure and can be recharged when needed.

The combination of the NI roboRIO and the 12V, 7Ah battery creates a compact and portable control system that can be used in a wide range of robotics and mechatronics projects, from educational platforms to industrial automation applications. The roboRIO’s advanced processing capabilities, flexible I/O, and the reliable power supply from the battery make it a popular choice for various robotics competitions, student projects, and research endeavors.

FLIR – E8xt Wifi InfraRed Thermal Imaging Camera

The FLIR E8xt is a WiFi-enabled infrared (IR) thermal imaging camera that provides advanced thermal imaging capabilities with a resolution of 320 x 240 pixels and a frame rate of 9Hz.

Key specifications of the FLIR E8xt Thermal Imaging Camera:

Thermal Resolution: 320 x 240 pixels

Thermal Sensitivity: <50 mK

Frame Rate: 9Hz

Wireless Connectivity: WiFi

MSX (Multi-Spectral Dynamic Imaging) Feature: Enables enhanced details and clarity by combining the thermal image with the visible light image

Serial Number: 639140598

The FLIR E8xt is designed for a variety of applications, including building inspections, electrical and mechanical maintenance, research and development, and more. The WiFi connectivity allows for easy wireless image transfer and remote monitoring, while the MSX feature provides improved image quality by overlaying thermal data onto the visible light image.

With its compact and portable design, the FLIR E8xt is a versatile thermal imaging camera suitable for both professional and hobbyist use. The 320 x 240 resolution and 9Hz frame rate provide a good balance of image quality and performance, making it a popular choice in the field of thermal imaging.

Wolf- Rugged outdoor Platform

The Wolf is a rugged outdoor mobile robot platform that is based on the Raspberry Pi single-board computer. Key features of the Wolf platform include:

Mobile Platform:

Robust and durable outdoor-rated chassis design

All-terrain wheels for navigation on various surfaces

Capable of traversing uneven terrain and obstacles

Raspberry Pi-based System:

Powered by a Raspberry Pi single-board computer

Provides a versatile and cost-effective control system

Allows for easy integration of custom software and peripherals

Connectivity:

WiFi connectivity for wireless communication and control

Enables remote monitoring, teleoperation, and data transfer

The Wolf is designed to be a flexible and adaptable mobile robotics platform suitable for outdoor applications, such as environmental monitoring, surveillance, exploration, and educational/research projects.

By leveraging the Raspberry Pi and incorporating WiFi connectivity, the Wolf allows users to develop and deploy custom robotic solutions without the need for complex or expensive hardware. The rugged construction and all-terrain capabilities make it well-suited for use in challenging outdoor environments.

Overall, the Wolf is a versatile and cost-effective mobile robot platform that combines the power of the Raspberry Pi with the durability and mobility required for real-world outdoor applications.

Lego Mindstorm EV3-Core Set-45544

The LEGO Mindstorms EV3-Core Set 45544 is designed for users of all ages, from beginners to advanced robotics enthusiasts. It provides a hands-on learning experience in areas such as programming, engineering, problem-solving, and creative design. The set can be used to build a wide range of robots, from simple wheeled vehicles to complex multifunctional machines, making it a popular choice for educational, hobbyist, and competition-based robotics projects.

The LEGO Mindstorms EV3 Core Set (45544) is a comprehensive robotics kit that allows users to build, program, and control a variety of robotic projects. The key components of the LEGO Mindstorms EV3-Core Set 45544 include:

EV3 Intelligent Brick:

The heart of the system, a programmable brick with a powerful ARM9 processor, memory, and various input/output ports.

Allows users to program and control the robot’s behaviors.

Motors:

Includes 3 interactive servo motors that can be used to power different parts of the robot.

Provide precise control and feedback for accurate movement.

Sensors:

Includes a variety of sensors, such as touch, color, infrared, and ultrasonic sensors.

These sensors enable the robot to interact with its environment and make decisions based on sensor data.

Connecting Cables:

Allows for easy connection between the EV3 Intelligent Brick, motors, and sensors.

LEGO Building Elements:

Includes a wide range of LEGO bricks, plates, and other elements to build the robot’s structure and mechanisms.

Programming Software:

The EV3 comes with intuitive programming software, allowing users to create custom programs and control the robot’s behavior.

Supports various programming languages, including a visual drag-and-drop interface.

Lego Mindstrom EV3 Expansion Set-45560(N)

The LEGO Mindstorms EV3 Expansion Set 45560(N) is a complementary kit that enhances the capabilities of the LEGO Mindstorms EV3 Core Set (45544). The expansion set includes additional LEGO elements, sensors, and other components to expand the functionality and complexity of the robotic projects you can build. Key features of the EV3 Expansion Set 45560(N) include a large motor, gyro sensor, infrared sensor, and touch sensor, which can be used to add more sophisticated movements, balance, object detection, and interaction to your robotic creations. The expansion set also provides more LEGO bricks, beams, and other structural components, allowing for the construction of more intricate and customized robot designs. Designed to work seamlessly with the EV3 Core Set, the Expansion Set 45560(N) enables users to further expand their LEGO Mindstorms robotics projects, explore advanced programming and control techniques, and create more complex and capable robotic systems for educational, competitive, or personal projects.

Lego Transformer 10V Dc-8887 or 45517

The LEGO Transformer 10V DC-8887 is a power supply unit designed specifically for use with the LEGO Mindstorms EV3 robotics system. Key specifications of this LEGO Transformer include:

– Input Voltage: 100-240V AC, 50/60Hz

– Output Voltage: 10V DC

– Output Current: 2.2A

– Power Connector: 5.5 mm DC barrel jack

The LEGO Transformer 10V DC-8887 is a crucial component for powering the LEGO Mindstorms EV3 Intelligent Brick, motors, and sensors. It provides a stable and reliable 10V DC power supply, ensuring the proper operation of the EV3 system.

Some key features and benefits of the LEGO Transformer 10V DC-8887 include:

1. Compatibility: Designed specifically for use with the LEGO Mindstorms EV3 robotics platform, ensuring seamless integration and power delivery.

2. Voltage Regulation: Provides a consistent 10V DC output, helping to maintain the correct voltage levels for the EV3 components.

3. Overload Protection: Incorporates safeguards against overcurrent and overload conditions, protecting the EV3 system from potential damage.

4. Wide Input Voltage Range: Supports a wide range of input voltages (100-240V AC, 50/60Hz), making it suitable for use in different regions and electrical environments.

5. Portability: Compact and lightweight design for easy portability and integration into LEGO Mindstorms projects.

The LEGO Transformer 10V DC-8887 is an essential accessory for anyone working with the LEGO Mindstorms EV3 robotics platform, ensuring a reliable and safe power supply for their projects.

Dobot Magician Educational Educational model

The Dobot Magician is an educational robotic arm developed by Dobot Robotics. It is designed to provide a hands-on learning experience in the areas of robotics, automation, and programming. Here are the key specifications and features of the Dobot Magician Educational model:

1. Robotic Arm:

– 4-axis robotic arm with a reach of up to 320mm

– Precise positioning and repeatable accuracy

– Supports a wide range of end-effectors, including grippers, pens, and tools

2. Connectivity:

– USB and Bluetooth connectivity for programming and control

– Compatible with various programming platforms, including Python, Arduino, and Scratch

3. Software and Programming:

– Comes with intuitive control software and programming interfaces

– Supports both visual programming and text-based coding

– Allows users to create custom programs and control the robotic arm’s movements

4. Educational Curriculum:

– Includes a comprehensive educational package with lesson plans, tutorials, and sample projects

– Designed to teach concepts such as kinematics, control systems, and automation

5. Safety Features:

– Integrated safety features, including emergency stop button and collision detection

– Suitable for use in educational and research environments

6. Versatility:

– Can be used for a wide range of educational and hobby applications, including pick-and-place tasks, object sorting, and 3D printing

The Dobot Magician Educational model is a powerful tool for engaging students and learners in the field of robotics and automation. It provides a hands-on, interactive learning experience, allowing users to design, program, and control a real robotic arm. The comprehensive educational resources and user-friendly software make it an excellent choice for schools, universities, and STEM (Science, Technology, Engineering, and Mathematics) education programs.

NAO V6 Humanoid Robot

The NAO V6 is the latest version of the popular NAO humanoid robot developed by Softbank Robotics. As an advanced humanoid robot, the NAO V6 offers a range of impressive features and capabilities:

1. Hardware:

– Humanoid design with 25 degrees of freedom for fluid and natural movements

– Sophisticated sensors, including cameras, microphones, force sensors, and inertial measurement units

– Powerful processors and onboard computers for real-time processing and control

2. Mobility:

– Omnidirectional locomotion with a top speed of up to 21 cm/s

– Ability to perform various movements, including walking, dancing, and interacting with objects

3. Perception and Interaction:

– Advanced vision capabilities with object recognition, face detection, and gesture recognition

– Sophisticated speech recognition and text-to-speech capabilities in multiple languages

– Responsive behaviors and social interactions through LED lights, gestures, and body language

4. Programming and Autonomy:

– Supports a range of programming languages, including Python, C++, and Choregraphe (a visual programming interface)

– Ability to execute complex behaviors and algorithms through its onboard computing power

– Autonomous decision-making and task execution capabilities

5. Applications:

– Widely used in educational, research, and entertainment settings

– Ideal for STEM (Science, Technology, Engineering, and Mathematics) education, human-robot interaction studies, and robotic demonstrations

The NAO V6 humanoid robot represents the latest advancements in humanoid robotics technology. Its versatile capabilities, user-friendly programming interfaces, and engaging interactive features make it a popular choice for educational institutions, research labs, and organizations interested in exploring the frontiers of humanoid robotics.

AR/VR HEADSET

The Meta Quest 2 (formerly known as Oculus Quest 2) is a state-of-the-art virtual reality (VR) headset developed by Meta (formerly Facebook).

Key specifications and features of the Meta Quest 2 VR headset include:

1. Display:

– Resolution: 1832 x 1920 pixels per eye (3.5K total)

– Refresh rate: Up to 120Hz

– Display type: LCD

2. Tracking and Controllers:

– 6 degrees of freedom (6DoF) positional tracking

– Intuitive Touch controllers with haptic feedback

– Inside-out tracking, eliminating the need for external sensors

3. Processor and Memory:

– Qualcomm Snapdragon XR2 Platform

– 6GB of RAM

– 64GB or 256GB of storage

4. Connectivity:

– Wireless (Wi-Fi 6)

– USB-C charging and data transfer

5. Audio:

– Integrated spatial audio

– 3.5mm headphone jack

6. Features:

– Lightweight and comfortable design

– Adjustable interpupillary distance (IPD)

– Guardian system for safe room-scale VR experiences

– Compatibility with a wide range of VR games, applications, and experiences

The Meta Quest 2 is a standalone VR headset, meaning it does not require a separate gaming PC or console to operate. It offers a high-quality, immersive VR experience with impressive visual fidelity, intuitive controls, and a growing library of VR content. The headset is widely used for gaming, entertainment, education, training, and various other applications where virtual reality can provide a compelling and engaging experience.

Wireless accelerometer with gateway

Based on the requirements you provided, I can describe a wireless accelerometer setup with a gateway that includes the following specifications:

Wireless Accelerometers (4 qty):

– Sensor Type: Accelerometer

– Sensitivity: 100 mV/g

– Wireless Communication: Built-in wireless module (e.g., Wi-Fi, Bluetooth, or proprietary wireless protocol)

– Power Supply: Battery-powered with long battery life

Gateway:

– Wireless Connectivity: Capable of receiving data from the 4 wireless accelerometers

– Data Aggregation: Collects and aggregates the data from the connected accelerometers

– Interfaces: Provides wired or wireless connectivity (e.g., Ethernet, Wi-Fi, USB) to transmit the aggregated data to a host computer or network

Key Features:

– Wireless Accelerometers: The 4 wireless accelerometers can be placed at different locations to measure vibration, shock, or motion data. The 100 mV/g sensitivity provides good resolution for the intended applications.

– Wireless Communication: The built-in wireless modules in the accelerometers allow for cable-free deployment and easy installation, reducing the complexity of the overall system.

– Gateway: The gateway acts as a central hub, receiving data from the wireless accelerometers and providing a convenient interface to transmit the aggregated information to a host system for further analysis or monitoring.

– Scalability: The system can be easily expanded by adding more wireless accelerometers, as the gateway can support multiple sensor nodes.

– Flexibility: The wireless design and gateway connectivity options make this setup suitable for a variety of applications, such as condition monitoring, structural health monitoring, or vibration analysis in industrial, infrastructure, or research settings.

This wireless accelerometer system with a gateway provides a flexible and versatile solution for distributed vibration or motion sensing applications, leveraging the benefits of wireless technology and the ability to centralize data collection and processing.

Z1AW0015M:MBP

The specification you provided, Z1AW0015M:MBP, corresponds to a 14-inch MacBook Pro with the following configuration:

Model: 14-inch MacBook Pro

Processor:

– Apple M3 chip with 16-core CPU (8 performance cores and 8 efficiency cores)

Memory:

– 64GB of unified memory

Storage:

– 1TB of solid-state drive (SSD) storage

Key Features:

– 14-inch Liquid Retina XDR display with ProMotion technology (up to 120Hz refresh rate)

– Apple M3 chip for powerful performance and efficiency

– 16-core CPU with 8 performance cores and 8 efficiency cores

– 64GB of unified memory for seamless multitasking

– 1TB of fast SSD storage

– Compact and lightweight design

– macOS operating system

– Connectivity options like Thunderbolt 4, HDMI, MagSafe 3 charging, and more

This specific configuration of the 14-inch MacBook Pro is a high-end model, featuring the latest Apple M3 chip, ample memory, and generous storage capacity. It is designed for demanding tasks such as content creation, programming, video editing, and other performance-intensive applications. The combination of the powerful M3 processor, generous memory, and fast SSD storage makes this MacBook Pro a versatile and capable mobile workstation.

SL9L2HN/A

The identifier SL9L2HN/A corresponds to the AppleCare+ extended warranty and support plan for the 14-inch MacBook Pro with M3 Pro or M3 Max chips.

AppleCare+ for 14-inch MacBook Pro (M3 Pro/M3 Max) provides the following coverage and benefits:

1. Hardware Coverage:

– Extends the standard one-year limited warranty to up to three years from the original purchase date.

– Covers repairs for hardware issues and manufacturing defects.

2. Technical Support:

– 24/7 access to Apple’s technical support team via phone, chat, or email.

– Assistance with software troubleshooting and usage.

3. Accidental Damage Protection:

– Covers up to two incidents of accidental damage, such as drops, spills, or cracked screens.

– Requires a service fee for each incident, which is lower than the full repair cost.

4. Battery Replacement:

– Provides a replacement battery if the original battery holds less than 80% of its original capacity.

5. Global Coverage:

– The AppleCare+ plan is valid worldwide, allowing for coverage and support when traveling.

By purchasing the SL9L2HN/A AppleCare+ plan, the 14-inch MacBook Pro (M3 Pro/M3 Max) owner can enjoy extended hardware coverage, comprehensive technical support, and protection against accidental damage, ensuring peace of mind and extended use of their high-end Apple laptop.

The AppleCare+ plan is an optional add-on that can be purchased at the time of the MacBook Pro purchase or within the first year of ownership, providing additional value and support for the user.

Quadcopter:

This is a detailed specification for a custom-built quadcopter with the following components:

1. Flight Controller:

– Pixhawk 2.4.8 (an advanced open-source autopilot system)

2. Motors:

– DJI 2212/920 Kv BLDC (Brushless DC) motors

3. Propellers:

– 1045 Props (10-inch diameter, 4.5-inch pitch)

4. Electronic Speed Controllers (ESCs):

– 30A ESCs

5. Frame:

– S500 Frame (a sturdy 500mm size quadcopter frame)

6. Battery:

– 3300 mAh 3S LiPo (Lithium Polymer) battery

7. GPS:

– M8N GPS module (for position hold and autonomous flight)

8. Telemetry:

– SiK Telemetry (for real-time data transmission and control)

9. Additional Components:

– Buzzer (for audio alerts)

– PWM link (for connecting the flight controller to the transmitter)

10. Transmitter and Receiver:

– Flysky FS-i6 Transmitter

– Flysky FS-lab6B Receiver

This quadcopter setup is designed for aerial photography, videography, and autonomous flight applications. The Pixhawk 2.4.8 flight controller provides advanced flight control capabilities, while the DJI 2212/920 Kv motors and 1045 propellers deliver efficient and powerful thrust. The 30A ESCs ensure reliable and responsive motor control.

The S500 frame provides a sturdy and modular platform for the quadcopter, and the 3300 mAh 3S LiPo battery offers a good balance of flight time and power. The M8N GPS module enables position hold, return-to-home, and other autonomous flight features, while the SiK Telemetry system allows for real-time data monitoring and control.

This comprehensive setup, combined with the Flysky FS-i6 transmitter and FS-lab6B receiver, creates a ready-to-fly quadcopter that can be used for a variety of aerial applications, from photography and videography to more advanced autonomous missions.

Octacopter

This is a specification for a custom-built octacopter with the following key components:

• Frame: – Tarot TL XL (a large and robust octacopter frame)
• Flight Controller: – Pixhawk V6X (an advanced open-source autopilot system)
• Motors: – 320 KV BLDC (Brushless DC) motors
• Propellers: – 1555 Props (15-inch diameter, 5.5-inch pitch)
• Electronic Speed Controllers (ESCs): – High-capacity ESCs (suitable for the high-power BLDC motors).
• Battery: – 22,000 mAh 6S Li-Ion (Lithium-Ion) battery pack.GPS:   – Neo 3 Pro GPS module Helical RTK GPS (for improved positioning accuracy)
• Telemetry: – SiK Telemetry 915 MHz (for real-time data transmission and control)
• Additional Components: – PWM link (for connecting the flight controller to the transmitter).Buzzer (for audio alerts)
• Transmitter and Receiver: – Flysky FS-i6 Transmitter

– Flysky FS-la6B Receiver

This octacopter setup is designed for heavy-lift applications, such as aerial photography, videography, and payload transportation. The Tarot TL XL frame provides a sturdy and scalable platform to accommodate the eight high-power BLDC motors and large 1555 propellers.

The Pixhawk V6X flight controller offers advanced flight control capabilities, while the Neo 3 Pro GPS and Helical RTK GPS modules enhance the positioning accuracy and stability of the octacopter. The 22,000 mAh 6S Li-Ion battery pack provides ample flight time and power for the high-performance motors and payload.

The SiK Telemetry 915 MHz system enables real-time data transmission and control, allowing the operator to monitor and command the octacopter during flight. The Flysky FS-i6 transmitter and FS-la6B receiver provide the primary control interface for the operator.

This octacopter setup is designed for professional applications and can handle significant payloads while maintaining precise control and stability. The combination of the powerful frame, motors, and battery, along with the advanced flight control and positioning systems, makes it a versatile and capable aerial platform.

EEG Machine

An electroencephalogram (EEG) machine is a device used to create a picture of the electrical activity of the brain. It has been used for both medical diagnosis and neurobiological research. The essential components of an EEG machine include electrodes, amplifiers, a computer control module, and a display device. Manufacturing typically involves separate production of the various components, assembly, and final packaging. 

The function of an EEG machine depends on the fact that the nerve cells in the brain are constantly producing tiny electrical signals. Nerve cells, or neurons, transmit information throughout the body electrically. They create electrical impulses by the diffusion of calcium, sodium, and potassium ions across the cell membranes. When a person is thinking, reading, or watching television different parts of the brain are stimulated. This creates different electrical signals that can be monitored by an EEG.

The electrodes on the EEG machine are affixed to the scalp so they can pick up the small electrical brainwaves produced by the nerves. As the signals travel through the machine, they run through amplifiers that make them big enough to be displayed. The amplifiers work just as amplifiers in a home stereo system. One pair of electrodes makes up a channel. EEG machines have anywhere from eight to 40 channels. Depending on the design, the EEG machine then either prints out the wave activity on paper (by a galvanometer) or stores it on a computer hard drive for display on a monitor.

Specification                                                                        

IoT Training System-iCONSe-T A Sensor Board IoT Training System

Internet of things refers to everyday physical objects connecting to the Internet globally, and being able to identify themselves to one another. Interconnection of the physical objects or devices is expected to facilitate human-to-human, human to device and device-to-device connections. From the connected objects, it is possible to gather and analyze data, converting them into useful information, which can then be disseminated to various end users.

Features

• Option to add several sensors to enhance Node’s sensing capability
• Suggested topics and its source code are covered under Contiki OS
• iCONSe Nodes are compatible with open-source platforms including Contiki OS
• Supports IPV6/ 6LoWPAN, IP network stack (TCP, UDP, HTTP), RPL, CoAP and Rime stack
• User can modify / write codes for Nodes

Specifications

Nodes

• Low power radio operation
• IEEE 802.15.4, 2.4 GHz radio
• Internet of things (IoT) – IPV6/6LoWPAN support
• Zigbee Smart Energy Compatible
• On-board 12 bit ADC
• 12C, SPI, Digital & Analog interface for various types of sensors and actuators
• USB powered, battery operation, external power supply

Gateway

• Offers programming support to nodes
• Sensors network management
• Supports Internet access by nodes for IoT – Connected Objects scenario

IoT Training System

1. Reconfigurable FPGA based Design Hardware with Sensors and Accessories 
2. Physical System integrated with FPGA hardware for Think, Sense, Chat and Act(Qube)

A field-programmable gate array (FPGA) is an integrated circuit designed to be configured by a customer or a designer after manufacturing – hence the term “field-programmable“. The FPGA configuration is generally specified using a hardware description language (HDL), similar to that used for an application-specific integrated circuit (ASIC). Circuit diagrams were previously used to specify the configuration, but this is increasingly rare due to the advent of electronic design automation tools.

FPGAs contain an array of programmable logic blocks, and a hierarchy of “reconfigurable interconnects” allowing blocks to be “wired together”, like many logic gates that can be inter-wired in different configurations. Logic blocks can be configured to perform complex combinational functions, or merely simple logic gates like AND and XOR. In most FPGAs, logic blocks also include memory elements, which may be simple flip-flops or more complete blocks of memory. Many FPGAs can be reprogrammed to implement different logic functions, allowing flexible reconfigurable computing as performed in computer software. FPGAs have a remarkable role in embedded system development due to their capability to start system software (SW) development simultaneously with hardware (HW), enable system performance simulations at a very early phase of the development, and allow various system partitioning (SW and HW) trials and iterations before final freezing of the system architecture.

IoT Training System List

IoT trainer kit is an all-in-one prototyping platform which comes with open source microcontroller and microprocessor development boards, Packed with software applications starting from getting started with kit to Internet of Things applications, with On Board Computer, Plug and Play, DIY Instructions, Multiple Communication Technologies

Components

• Sensor set for IOT
• Wearable/ Medical system Design 
• Sensor set for IoT Home Automation System Design 
• IoT controller (LT-M2MC8000) with built in Wi-Fi Adapter, Linux OS loaded, Battery, Spare Node
• Serial Debugger for the Controller 

IBM TOWER SERVER X3300 M4

FEATURES:

• A 2.2 GHz/6.4 GTS-10 MB 4C E5-2407 Intel Xeon processor data bus to the  

            system with one QPI link

• 8 GB of 1333 MHz DDR3 ECC system memory 1; 48 GB maximum or 384 

            GB maximum when 32 GB DIMMs installed

• Eight-port SAS/SATA with RAID controller
• One redundant 550-watt 80 Plus Bronze certified power supply fitted standard
• Integrated management module 2 (IMM2)
• Five PCI-Express card slots standard, one PCI-Express card slot enabled with 

            Dual processors and one optional PCI-X card slot when using interposer card

• Support for up to sixteen 2.5-inch drives plus one standard optical drive and 

            one optional half-height tape drive, or up to eight 3.5-inch drives plus one 

            standard optical drive and one optional half-height tape drive

• Up to 16 TB 2 with 1 TB 2.5-inch HS NL SFF SAS/SATA disk drives
• Intel I350CM2 integrated Quad Gigabit Ethernet controllers; two ports 

            standard and two more ports using Software license key and SAS or SATA   

            support

• SVGA video with 16 MB memory shared
• Support for optional Remote Presence function
• 4U tower industry-standard models, rack mount through special bid or option
• Two USB front and four USB rear ports, two USB internal port, one d-sub 

            Connector, four 10/100/1000 RJ45 ports, and one serial port.

Tactic Throat Microphone(TM)

The throat mic uses the piezoelectric transducer to sense the vocal cord vibration that is positioned near the larynx in contact with the skin of the throat. It collects the speech signals transferred by the sound vibrations along with the larynx tone. The speech of the throat microphone has less intelligibility due to filtering of the higher frequency by the skin and muscles at the larynx region, though it has speech signal with the speaker’s characteristic features. The spectral features of some sound units differ from the normal microphone speech’s sound units. There exits few distinctive spectral features in the TM speech compared to the AM speech.

Microphone  Type	Throat Microphone
Conduction Type	Vibration sound conversion Microphone
Frequency Range	300Hz to 3400Hz
Physical structure
Condenser type	Piezoelectric transducer
Wearable location	Neck

Bone Conduction (BC) Microphone – Temco HG-17

The technology in the bone conduction had a fold growth in recent decades. In both civil and military communications structures, bone conduction (BC) vibrators and BC touch microphones have become available as a radio conversation interfaces. The BC microphone pickups the vibration of the skin and the bone, and it believe that the speech of bone conduction involves private characteristics of speaker from those of the air conducted speech and throat speech. The BM speech lacks the information at higher frequencies as the TM speech due the filtration higher frequency component by the skin and the muscle along the sound transmission path . The background noise did not affect this voice information because they were recorded over the skin surface near the skull bone.

Microphone  Type	Bone Conduction Microphone(Temco HG-17)
Conduction Type	Vibration sound conversion Microphone
Frequency Range	200Hz to 4000Hz
Physical structure
Condenser type	Electrets condenser
Wearable location	Head

Bone Conduction (BC) Microphone – Temco HG-17

The technology in the bone conduction had a fold growth in recent decades. In both civil and military communications structures, bone conduction (BC) vibrators and BC touch microphones have become available as a radio conversation interfaces. The BC microphone pickups the vibration of the skin and the bone, and it believe that the speech of bone conduction involves private characteristics of speaker from those of the air conducted speech and throat speech. The BM speech lacks the information at higher frequencies as the TM speech due the filtration higher frequency component by the skin and the muscle along the sound transmission path . The background noise did not affect this voice information because they were recorded over the skin surface near the skull bone.

Microphone Type	Bone Conduction Microphone(Temco HG-17)
Conduction Type	Vibration sound conversion Microphone
Frequency Range	200Hz to 4000Hz
Physical structure
Condenser type	Electrets condenser
Wearable location	Head

IriShield

The IriShield is a compact, monocular iris camera manufactured by Iritech. The camera uses infrared LED for eye illumination and can be used both indoor and outdoor. The manufacturer specifies that the captured iris images are ISO/IEC 19794-6 compliant. The camera is suitable for using in both desktop and mobile solutions, including usage with smartphones and tablets. An USB module without casing or chip & camera set are also available from the manufacturer. 

Ultra-compact, auto-capture iris scanners, complete with on-board iris recognition and a PKI-based security infrastructure that ensures end-to-end data security. Superior iris matching and iris image quality assessment algorithms to provide good quality images and avoid false positives while maximizing true positive identification rates. The embedded algorithms can complete a matching query against 1,000 stored templates in 0.5 second.

Specifications

AfterShocks-Bone Conduction Microphone

Treks titanium open-ear wireless bone-conduction headphones are the smart alternative to traditional in-ear sport headphones and earbuds because they let you keep your ears open so you can hear surrounding sounds. Designed with athletes in mind, treks titanium are sweat proof, secure, and will allow you to hear your surroundings.

Specification

Deep Learning Server Cyber Threat Intelligence Centre

Our university has recently implemented a state-of-the-art NVIDIA GPU Platform under the prestigious DST-FIST grant, empowering groundbreaking Artificial Intelligence research and high-performance computing.

Key specifications include:

• CPU: 2 x 24-core processors (total 48 cores)
• Memory: 1 TB
• Storage: 1 x 1.9TB NVMe PCIe (for OS) and 3 x 14TB SATA 6Gb/s 7.2K (for file storage)
• GPU: 2 x NVIDIA H100 80GB PCIe 5.0 x16 with Passive Cooling
• NVLINK: NVIDIA NVLINK Bridge for enhanced GPU connectivity
• Operating System: Ubuntu 24.04 LTS

Key Applications

• High Performance Computing
• VDI
• AI/Deep Learning Training
• Media/Video Streaming
• Cloud Gaming
• Animation and Modeling
• Design & Visualization
• 3D Rendering
• Diagnostic Imaging
• AI Training

IoT Security Defender Software / Cyber Threat Intelligence Centre

ESA MCB 51 (8051 based Single Chip MCU Trainer)

Description:

ESA MCB 51 is USB based micro controller board, which is an advanced version. it is a development board supports a wide variety of popular 8051 family devices in the stand-alone mode of operation. These 8051 families of micro controller are extensively used for embedded and real applications The board communicates Host PC through RS-232 or USB

ESA MCB 51

Key Features:

• Processor: Works with AT89C51ED2/RD2 Operates at 11.0592 MHz
• Operates on Single 5V Power Supply
• The power full on-chip flash monitor provides communication with Keil μ Vision Debugger
• On-board ISP support for On-chip flash programming
• LCD : On-Board LCD (16×2), interfaced to port lines.
• On board UART to USB convertor
• On Chip Peripherals: three 16-bit on chip timers/counters, watch Dog Timer, Programmable Counter Array (PCA) on Port1 i.e. PWM, Capture and compare, SPI, Full duplex enhanced UART.
• Provision to work with Interfaces
• Push buttons for INT0 ,INT1 and Reset

VI Micro 8086 Microprocessor Trainer Kit

Description:

The 8086 is a 16-bit microprocessor. The term HMOS is used for high-speed MOS”. The 8086 uses 20 address lines and 16 data lines. It can directly address up to 220 = 1Mbytes of memory. The 16-bit data word is divided into a low-order byte and a high-order byte. The 20 address lines are time multiplexed lines. The 16 low-order address lines are time multiplexed with data, and the 4 high-order address lines are time multiplexed with status signals. OPERATING MODES OF 8086 There are two modes of operation for Intel 8086, namely the minimum mode and the maximum mode. When only one 8086 CPU is to be used in a microcomputer system the 8086 is used in the minimum mode of operation. In this mode the CPU issues the control signals required by memory and I/O devices. In case of maximum mode of operation control signals are issued by Intel 8288 bus controller which is used with 8086 for this very purpose. When MN/MX is high the CPU operates in the minimum mode. When it is low the CPU operates in the maximum mode.

VI Micro 8086 Microprocessor Trainer Kit

Key Features:

• INTEL 8086CPU AT 4.77 MHZ CLOCK SPEED
• 16KB for monitor EPROM upgradable to 64kb
• 16KB RAM expandable to 64KB
• Battery backup provision for RAM upto 64KB
• 16 x 2 (or) 20 x 4 Alphanumeric LCD display
• 101 keys IBM compatible keyboard
• 24 TTL I/O lines brought out to two nos., of 26 pin FRC connector
• 1 number of standard RS232C compatible serial port brought out to a pin D type male connector.
• 3 channel 16 bit counter/timer using 8253.
• Fully buffered address data and control signals terminated at a 50 pin header(VXT BUS) for interfacing VBMB series
• of experiment boards and bus expansion.
• 8 no’s of interrupt lines are terminated at a 10 pin connector.
• Kit operates with a single +5V/DC supply
• The kit and the power supply are mounted on a attractive light gray color fiber glass cabinet with fiber glass top cover.
• Built-in line assembler & Disassembler
• Powerful debugging monitor to develop user program.

ARM7 2148 EVALUATION BOARD

Description:

The LPC2142/2148 microcontrollers are based on a 32/16-bit ARM7TDMI-S CPU with  real-time emulation and embedded trace support, that combines the microcontroller with 64 kB and 512 kB of embedded high-speed flash memory. A 128-bit wide memory interface and a unique accelerator architecture enable 32-bit code execution at the maximum clock rate. For critical code size applications, the alternative 16-bit Thumb mode reduces code by more than 30 % with minimal performance penalty.

Arm7 2148 evaluation board

Key Features: 

• LPC2148 16/32 BIT ARM7TDMI-S with 512K bytes Program Flash, 42K bytes RAM
• 12MHz Crystal allows easy communication setup
• One on board voltage regulator for generating 3V. Input to this will be from External +5V DC Power supply through a 9-pin DSUB connector
• One RS232 interface circuits with 9 pin DSUB connector: this is used by the Boot loader program, to program LPC2148 Flash memory without external Programmer
• Piggy Back module containing LPC2148 controller
• Standard JTAG connector with ARM 2×10 pin layout for programming/debugging with ARM-JTAG
• Standard 26-pin FRC connectors to connect to on-board interface or some of ALS standard External Interfaces
• Reset push-button for resetting the controller
• SPI Interface: 2 channel ADC IC with POT and Temperature sensor
• I2C Interface: NVROM IC
• On chip ADC interface circuit
• Two External interrupt circuits with LED indication
• LCD 16×2 alphanumeric display
• On-board eight push-button switches
• 4×4 Key-Matrix connected to the port lines of the controller
• Eight general purpose LED’s
• Four-digit multiplexed 7-segment display interface
• 8-bit DAC interface
• Stepper motor interface with direction and speed control
• DC motor interface with direction and speed control
• Interface circuit for on board Buzzer and Relay
• A number of software examples in ‘C-language’ to illustrate the functioning of the The software examples are compiled using an evaluation version of KEIL4 ‘C’ compiler for ARM
• Serial RS232 cable is included
• Operates off 5V DC

Digital IC Trainer Kit

Description:

Consists of DC regulated power supply of 5V at 500mA, fixed and variable clock generators, independent buffered logic inputs to select high/low TTL levels each with LED high/low indicator, independent buffered  logic level indicators for outputs, potentiometer, veroboard, etc. all with 2mm terminals.  Useful for study of gates and their tables (NOT, OR, AND, NOR, NAND, EX-OR, EX-NOR), Verification of the laws of Boolean algebra and De-Morgans theorem, TTL terminologies, TTL circuit parameters, Study of flip-flops (RS, KK, D, T, M/S,  JK) , Half adder, full adder, half subtractor, full subtractor,  Even/odd parity ckecker,  Multiplexer, demultiplexer, Binary to gray and  gray to binary converter. Study of  counters (up/down, synchronous/asynchronous, ripple/reverse, ring binary, BCD and  decade).  Study of 4 bit universal shift register (SR/SL operation) 7 segment display and decoder/driver.  Many other experiments using on board components and vero board  are possible.

Digital IC Trainer Kit Make 

Key Features: 

• Power supply : 5V, ±12V
• Logic Input 12 Nos.
• Logic Output 12 Nos.
• Connecting Terminals
• Bread Board: 2 Nos.
• Mono Pulse 1 No.
• Clock Generator 100Hz-1KHz
• Wooden Box Closed Type.