Developed a high-precision eye tracking system using MediaPipe that enables hands-free computer control. This project was specifically designed for disabled individuals to interact with technology using only eye movements.
Developed a computer vision system that estimates object distance from a camera using triangle similarity algorithm. Includes face detection and YOLOv4 variants with Raspberry Pi compatibility.
Comprehensive course materials for learning computer vision with MediaPipe. Includes tutorials, code examples, and practical projects for students and developers.
Python project integrating YOLOv4 object detection with distance estimation using a single camera. Supports multiple object classes with customizable reference images.
Free course covering fundamentals of Augmented Reality using OpenCV. Learn to create markers, detect them, perform image augmentation, camera calibration, and 3D pose estimation.
Alternative eye tracking solution using OpenCV and Dlib library. Implements blink detection, eye aspect ratio calculation, and provides comparison with MediaPipe performance.
Developed a robot that follows human faces using computer vision for detection and distance estimation. The system uses a single camera without additional sensors, processing video on a PC/laptop that communicates with Arduino-based controllers.