Design and Implementation of a Line Following Robot Using Raspberry Pi, USB Camera, and Python Programming

This project presents the design and implementation of a line-following robot using a Raspberry Pi, a camera, and OpenCV with Python. The primary objective is to develop a system where the robot autonomously navigates along a predetermined path marked by a black line. The camera, mounted on the robot, continuously captures the environment in front of the robot. By leveraging the image processing capabilities of OpenCV, the system analyzes the captured frames to detect the presence of the black line.The algorithm processes the images to identify the position and orientation of the line relative to the robot. If the black line is detected, the robot's control system commands the motors to move the robot forward, ensuring it stays on track. Conversely, if the black line is not detected, the robot halts its movement to prevent deviation from the path.

This project demonstrates the integration of computer vision with robotics, showcasing a practical application of image processing for autonomous navigation. The proposed system offers a foundation for further advancements in autonomous vehicles and intelligent robotic systems, potentially benefiting various industries, including manufacturing, logistics, and transportation.