Optomechatronic system for robotic arm using neural networks for educational inclusion

The artificial vision system is crucial in technological advancements, offering innovative solutions for assisting people with disabilities. This study presents an optomechatronic system designed to control a robotic hand prosthesis using artificial vision to interpret hand movements and translate sign language into voice commands. The prosthesis operates through artificial vision-based control that maps hand positions to prosthetic fingers. This technology aids in direct communication between people with hearing impairments and others, enhancing inclusivity. The project emphasizes the use of low-cost and open-source software, making it accessible to a broader audience.