turrett 1.0.0

AI-powered turret control system with face tracking, eye gaze detection, and YOLO object tracking

Tracking Turret

A 2-axis tracking turret that uses computer vision (OpenCV/YOLO) to follow faces, objects, eye-gaze, or mouse cursor in real-time via Arduino servo motors.

Implementation

• Face Tracking: Uses OpenCV and Haar cascades to detect and track faces.
• Eye-Gaze Tracking: Follows the direction of the eye-gaze.
• Object Tracking: Can track any colored or defined object in the camera frame.
• Mouse Control: Follows mouse movement on screen.
• Jersey Tracking: Custom-trained YOLOv8 model to track a specific college jersey.

Hardware

• Pan-Tilt Turret with two servo motors
• Arduino board (Uno, Nano, or similar)
• USB/Serial connection to the controlling PC
• Camera

How It Works

1. The camera captures frames in real-time.
2. OpenCV detects faces, objects, or eye-gaze direction.
3. Errors between the target and the center of the frame are calculated.
4. Python sends commands over serial to Arduino.
5. Arduino moves the pan-tilt servos according to the commands.