AI Lab Products
AI training Unit
Code : (CAI-51)
he (CAI-51) unit establishes pre-connections between The Main A IoT Controller and The Kit's Devices to facilitate easy and quick use of the kit, with a focus on achieving the objectives of the Software layer.
The Kit offers advanced peripherals including OLED, 8×8 Pixel Displays, and Gesture Sensor.
• Studying programming using python and C/C++
• Exploring Keywords, Syntax Structure, Variables, Constants, Selections, Iterative control structures, Functions, Parameters, and Classes.
• Understanding problem-solving through the provided exercises on Basic Flow, Repeat structures with counter conditions, Logical Conditions, Iteration, Nested Loops, 1-D/2-D Arrays, Sorting, and advanced applications
• Delving into AI using python.
Intelligent mobile robot training unit
Code : (CAI-52)
An assembled (CAI-52) unit is available for immediate use, equipped with all the necessary features for operating a service robot.
The robot's mobility is optimized through the use of 4 omni wheels located at the base of the robot.
• Robot Operating System (ROS) functions as an operating system for Linux.
• Python programming is used on the Linux platform.
• Machine Learning encompasses supervised (Linear Regression and Logistic Regression), unsupervised learning, and Reinforcement learning.
• AI-related topics include ANN, DNN, CNN, and Perceptron.
• Tensor Flow is utilized.
• Data Processing Packages such as Matplotlib, Pandas, and Numpy are used.
• Text to speech and speech to text capabilities are incorporated.
• Voice Commands are employed for robot navigation.
• Audio playback and recording features are included.
• Image processing is carried out using a robot's camera.
• The robot can be remotely controlled.
• Motor speed and direction are controlled using PWM and control signals.
• Deep learning is applied to the robot's navigation.
• Image processing is performed using open CV.
Inverted Pendulum training .unit
Code : (CAI-53)
The Inverted Pendulum Training Unit (CAI-53) provides a comprehensive approach to learning about dynamic systems, control strategies, and artificial intelligence applications.
By combining theoretical knowledge with practical experiments and project work, participants will gain valuable insights into real time control systems and the challenges involved in balancing and stabilization tasks.
This training unit serves as a foundation for further exploration in robotics, automation, and AI-driven applications.
• Dynamic Simulation of the Inverted Pendulum
• Implementing PID Control
• State-Space Control Design
• Reinforcement Learning Training
• Model Predictive Control (MPC)
• Testing Response to Disturbances
• Balancing with External Constraints
• Data Collection and Analysis
• Parameter Variation Experiment
• Collaborative Control Experiment
AI & IoT Training Unit
Code : (CAI-54)
The AI & IoT Training Unit (CAI-54) aims to equip participants with a robust understanding of how artificial intelligence can enhance the capabilities of IoT systems.
By combining theoretical knowledge with hands-on experience, participants will gain valuable skills applicable to a wide range of industries, preparing them for the future of intelligent systems and smart technology.
• IoT Device Setup and Data Collection
• Implementing Communication Protocols
• Building a Smart Home System
• Machine Learning Model Development
• Predictive Maintenance Using AI
• Real-Time Data Visualization
• Edge Computing Implementation
• AI-Powered Anomaly Detection
• Integration with Cloud Platforms
• Smart Agriculture Projec
