Real Time Sign Language Detection

Abstract

Abstract: Communication is the method of sharing or exchanging information, ideas or feelings. To have a communication between two people, both of them need to have knowledge and understanding of a common language. But in the case of deaf and dumb people, the means they use for communicating is different from that of normal people. Deaf is not able to hear and dumb is not able to speak. They communicate using sign language among themselves and with normal people but normal people don’t take seriously the importance of sign languages. Not every-one has the knowledge and understanding of sign language which make the communication difficult between a normal person and a deaf and dumb person. For overcoming this barrier,a model can be build based on machine learning. A model can be trained to recognize different gestures of sign language and translate them into English language. This will help a lot of people in communicating with deaf and dumb people with ease. A real time ML based system is built for the real time sign language detection with TensorFlow object detection in this paper. The major purpose of this project is to build a system for the differently abled people to communicate with others easily and efficiently. Keywords: Object detection, sign language, Deep learning, SSD(Single-shot Detector), TensorFlow