Building a Self-Controlled Car through AI inferences & IoT

• Build a Mini Self-Driving Car: Dive into the exciting world of autonomous vehicles and learn to create your own functional mini self-driving car! This hands-on project combines cutting-edge technologies to bring the future of transportation to life.

• Real-time Object Detection with YOLO & OpenCV: Master real-time object detection using the powerful YOLO (You Only Look Once) algorithm and OpenCV. Learn how to identify and locate objects in video streams, a crucial skill for autonomous systems.

• IoT Sensor Integration for Autonomous Navigation: Explore the power of the Internet of Things (IoT) by integrating ultrasonic sensors for autonomous navigation. Understand how to use sensor data to enable your vehicle to perceive and react to its environment.

• Live Inference on Arduino: Deploy live inference models directly on an Arduino board. This allows for real-time decision-making and control within your self-driving car project, eliminating the need for cloud connectivity.

• Control Systems for Steering & Braking: Design robust control systems to manage the steering, braking, and obstacle avoidance functionalities of your mini self-driving car. Learn the principles of control theory applied to robotics.

• Python-Based Control Logic: Implement sophisticated Python-based control logic to orchestrate the actions of your self-driving car. Develop algorithms for path planning, decision-making, and safe navigation.

Autonomous Vehicles: A Deep Dive

Autonomous vehicles are revolutionizing transportation through the fusion of computer vision, IoT, and real-time inference. This course provides a practical understanding of the core technologies driving this transformation.

Computer Vision for Vehicles: Discover how computer vision enables vehicles to "see" and interpret their surroundings using cameras and deep learning. Learn about techniques like object detection, lane tracking, and semantic segmentation to accurately identify pedestrians, traffic signs, and other vehicles.

The Role of IoT: Explore how the Internet of Things (IoT), including ultrasonic sensors, ESP32 cameras, and Arduino, provides continuous data streams to vehicle systems. Enhance situational awareness and enable vehicle-to-everything (V2X) communication for coordinated movement.

Skills for the Future: This course is ideal for educators and developers seeking to innovate in smart cities, robotics, and industrial automation. Gain the skills to build and deploy autonomous systems. You'll gain hands-on experience combining theory and practical projects to create functional autonomous solutions.