Project Details
Gesture-Controlled Light System w/ Computer Vision 2023
Project Overview
This project showcases the integration of computer vision and IoT to create a gesture-controlled lighting system. Utilizing a Raspberry Pi 4 and a USB camera, the system captures real-time video to recognize specific hand gestures, which then triggers a relay module to control a light source.
Key Features
Real-Time Gesture Recognition: Implemented using Python and the MediaPipe library, the system can accurately recognize a variety of hand gestures in real-time.
IoT Light Control: Integrated a relay module with a Raspberry Pi 4 to control a USB-powered lamp based on the recognized gestures.
Safety and Efficiency: Designed with safety in mind, the system uses a relay module to isolate the Raspberry Pi from the high voltage, ensuring safe operation.
Project Information
GitHub Repository
Hardware: Raspberry Pi 4, USB Camera, Relay Module, USB-powered Lamp
Software: Python, OpenCV, MediaPipe