Build a Gesture-Based Light Controller with Computer Vision
Blog post from Roboflow
A blog post by Timothy M outlines the development of a gesture-based light control system using computer vision, which allows users to manage home lighting through hand gestures without traditional switches or remote controls. The system employs a camera to capture gestures, which are processed by a trained object detection model hosted on Roboflow, identifying actions such as turning lights on or off and adjusting brightness. These gestures are communicated via MQTT to a NodeMCU-based device that controls an AC light bulb, using Arduino firmware to execute the appropriate actions. The project involves collecting and labeling a dataset of hand gestures, training a model, and developing a JavaScript application to interact with the model and transmit control messages to the light control device. The entire setup is designed to demonstrate how computer vision and IoT technologies can be combined to create innovative home automation solutions.