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Detection is performed by combining two approaches: Yolo bounding box and pose landmarks, where both outputs are mapped into a 10x10 grid (made with OpenCV), which serves as a reference for the wheelchair to avoid obstacles. Commands are sent from the NUC to the ESP32, which then moves the motor.
This app is designed to control a wheelchair by the voice of user. The purpose of the project is to faciliate the movement of the people who are unable to move properly. This app is able to send the voice command data to a arduino through bluetooth which will control the wheelchair.