Gesture-Controlled Robotics: Enhancing Automation and Safety
DOI:
https://doi.org/10.48001/978-81-966500-6-3-3Keywords:
Convolutional Neural Network, Radio control, Receiver, TransmitterAbstract
Automation has played a critical part in revolutionizing sectors. The usage of gesture based robotic controls, which work without the need of a joystick or buttons, is the most recent breakthrough. The model proposed is trained to read and perform desired action based on hand gestures using Convolutional Neural Network (CNN) technology. The proposed method focuses on controlling any existing RC Robot with the help of hand gestures without reconstructing a new model. This novel technique will allow the robot to maneuver with ease, including forward movement, reverse movement, turning left or right, and halting. Overall, this technology has the potential to improve the efficiency and safety of automated systems, opening the way for a more advanced and sophisticated robotics future.
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