AI Vision Smart Car Kit | ESP32 & OpenMV Autonomous Robot for Line Tracking & Obstacle Avoidance | Arduino & Python Programmable STEM Platform with Camera, Ultrasonic Sensor & Mecanum Wheels | Ideal for AI Robotics & Navigation Learning

The AI Vision Smart Car Kit is a high-level educational platform designed to teach artificial intelligence, robotics, and computer vision through hands-on experimentation. Built around the ESP32/OpenMV microcontroller, it combines visual processing, autonomous navigation, and IoT communication, enabling learners to explore AI-driven control and motion systems.

This kit features a camera vision module capable of color recognition, object tracking, and path detection. Learners can program the robot to follow specific lines, detect colored targets, and avoid obstacles dynamically using AI logic. The system supports real-time visual data processing, demonstrating how cameras can be integrated into robotics for autonomous decision-making.

With an ultrasonic distance sensor, the car can detect objects and perform obstacle avoidance maneuvers automatically. Combined with a line-tracking module, it can switch between multiple modes — such as path following, color tracking, or obstacle bypassing — all programmable via Arduino IDE or Python (OpenMV IDE).

The ESP32 controller enables Wi-Fi connectivity, allowing wireless control or IoT-based telemetry visualization. The Mecanum wheel configuration provides omnidirectional movement, making it ideal for classroom demonstrations and advanced robotics competitions.

The modular plug-and-play design eliminates the need for soldering, ensuring safety and flexibility for students. Each component — including motor driver boards, servos, and camera mounts — is fully documented and reusable.

Through this kit, learners gain practical exposure to AI principles, embedded vision, and autonomous navigation, mastering how robots perceive, interpret, and interact with their environment. Perfect for STEM courses, robotics clubs, and university AI labs, this system bridges programming, electronics, and mechanical engineering into one cohesive educational experience.

AI-Powered Visual Recognition
Built-in camera module enables color tracking, path detection, and visual recognition, introducing students to AI-based perception systems.

Autonomous Navigation & Obstacle Avoidance
Integrates ultrasonic sensors and AI logic for dynamic path correction and obstacle detection, teaching algorithmic motion control.

Multi-Mode Operation with Mecanum Wheels
Supports line-tracking, color-following, and remote control modes with omnidirectional movement for precise robotics training.

Dual Programming Support (Arduino & Python)
Compatible with Arduino IDE and OpenMV IDE, allowing learners to explore both embedded coding and high-level AI scripting.

STEM & AI Learning Integration
Combines robotics, programming, IoT, and computer vision into one platform — ideal for AI, automation, and engineering education.