A high-performance Red Color Segmentation system using classic Computer Vision (OpenCV) on Raspberry Pi. Features dual-range HSV thresholding and morphological refinement, tested across multi-domain datasets including automotive and botanical subjects

Flappy Bird clone with camera-based controls using HSV color segmentation and Y-axis thresholding for jump mechanics.

Real-time color object tracking using OpenCV with HSV segmentation and direction guidance system.

A modular research framework engineered to benchmark CNN models across multiple sign language datasets. Featuring a scalable architecture (Factory Pattern), optimized HSV-based hand segmentation, and real-time inference capabilities for edge deployment.