Hand Talk Assistance with TensorFlow Single Shot Detector

Hearing-impaired people use sign language as their primary form of communication worldwide. A verbally disabled person and a normal person have, nevertheless, always had trouble communicating. Real-time recognition of sign language is a huge improvement in their ability to communicate with one another. To communicate within their communities and with others, deaf, hard-of-hearing, and other people who are unable to speak orally use sign language. As a result of the prior system’s incapability to identify various indications, we are using it in this chapter to inform the deep learning-based method we are using to find a solution. In this chapter, we are going to apply the Single Shot Detector algorithm to detect different types of hand gestures and label them accordingly. So, whenever we capture an image through a webcam, our model will detect hand gestures, predict the type of sign, and display the label of that particular sign.