Raspberry Pi 5 Lane Detection Robot Car Kit with OpenCV & Arduino

Every part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 3-5 days.

Imagine a robot that sees the road, finds the lane lines, and steers itself to stay centered - without a remote control. This kit lets you build a fully autonomous lane-following vehicle using the power of Raspberry Pi 5 for real-time OpenCV image processing and an Arduino Nano for precise motor control via UART serial communication. Perfect for engineering final-year projects, Smart India Hackathon prototypes, or deep-diving into self-driving car algorithms.

What You'll Build

You'll assemble a two-wheeled robot car that captures live video through a Pi Camera Module 3, processes each frame with a custom lane-detection pipeline, and computes steering commands to keep it centered on a track. The Raspberry Pi 5 sends these corrections over UART to an Arduino Nano, which drives the L298N motor driver and TT gear motors. The result is a responsive, real-time autonomous vehicle you can demonstrate in classrooms, competitions, or your B.Tech project showcase.

What You'll Learn

• Real-time image processing with OpenCV: color filtering, edge detection, and Hough transforms to identify lane lines
• UART serial communication between Raspberry Pi and Arduino for seamless data transfer
• Motor driver control, PWM speed regulation, and differential steering algorithms
• System integration: power distribution with buck converter, battery management, and embedded hardware debugging

Kit Contents