PROJECT: HAND GESTURE CONTROL SYSTEM
OVERVIEW:
Developed a fully functional hand gesture control system using Python. Hand gestures in front of sensors performed computer functions such as play, pause, rewind, and forward.
SKILLS:
Computer Vision, Machine Learning, Python, OpenCV, Education Technology
HARDWARE AND SENSOR INTEGRATION
Developed a gesture-controlled interface using a Raspberry Pi and Arduino UNO, integrating camera sensors to detect and interpret hand movements in real time. Designed the system to reliably capture motion inputs with minimal latency, ensuring smooth communication between hardware and Python-based software.
COMPUTER VISION AND CONTROL ALGORITHMS
Validated the system through extensive testing of gesture recognition across varying lighting and motion conditions, ensuring robustness and reliability. Demonstrated practical applications by mapping gestures to media playback functions, highlighting the potential for accessibility tools, touchless interfaces, and interactive systems.
SYSTEM TESTING & APPLICATIONS
Optimized algorithms ensure low-latency gesture recognition, providing immediate feedback and control responses. The system maintains high accuracy while operating in real-time educational environments.
