AI Object Following Robot

An Object Following Robot uses computer vision to detect and track objects, following them as they move. This project combines robotics with AI vision, creating an autonomous robot that can perceive and react to its environment.

Why This Project Is Popular

Computer vision is transforming robotics. This project teaches image processing, color tracking algorithms, and motor control - essential skills for autonomous vehicles and robotics careers. It's exciting to watch and impressive to demonstrate.

Project Ideas or Guide

Build an object following robot:

• Camera: ESP32-CAM for image capture and processing.
• Color Detection: Simple approach - track specific color (red ball, blue object).
• Position Tracking: Calculate object's X,Y position in frame - center means robot is aligned.
• Navigation: Move forward/backward to maintain distance, turn to keep object centered.
• Obstacle Avoidance: Add ultrasonic sensors to prevent collisions.
• TensorFlow Lite: Advanced - use pre-trained models to recognize specific objects.

Components Used

• ESP32-CAM
• Robot Car Chassis
• L298N Motor Driver
• HC-SR04 Ultrasonic (for distance)
• LiPo Battery
• FTDI Programmer

FAQ

Q: What objects can it follow?

A: Color-based can follow any uniquely colored object. ML models can recognize specific items.

Q: How fast can the robot move?

A: Speed limited by camera processing - typically 10-20cm/sec works reliably.