Line Following Robot with Computer Vision

The Line Following Robot with Computer Vision project is designed to create an autonomous robot capable of following a line using computer vision techniques. The implementation involves integrating OpenCV for image processing and communication with an Arduino for motor control via Bluetooth.

Features

• Line following using a combination of contour detection and Hough Line Transform algorithms.
• Track adjustment technique with memory to reverse the robot's previous steps when it deviates from the track.

Demo Video

• Watch the Line Following Robot in action (Video 1)
• Watch the Line Following Robot in action (Video 2)

How it Works

• The robot processes the camera feed using OpenCV to detect lines on the track.
• The combination of contour detection and Hough Line Transform provides robust line-following capabilities.
• The track adjustment technique includes a memory mechanism to reverse the robot's path when it deviates from the track.

Author

Ziad Abdelrehim Othman

Hardware Requirements

• Arduino board
• Bluetooth module
• Camera module

Line Following Algorithms

The line following in this project is achieved through a merge of two key algorithms:

Contour Detection

• Utilizes OpenCV's contour detection to identify the edges of the track.
• Provides information about the structure and shape of objects in the camera feed.

Hough Line Transform

• Applies the Hough Line Transform to detect straight lines within the image.
• Used to identify the linear structure of the track for precise line following.

Track Adjustment Technique

The track adjustment technique employed in this project includes a memory mechanism for each step:

Memory for Track Adjustment

• Maintains a record of the robot's previous steps.
• If the robot deviates from the track, it can reverse its previous steps to get back on course.
• Enhances the robot's ability to recover from track deviations and continue following the line effectively. """