Sign Language Recognition and Translation to Speech for Mine Workers using Deep Learning Technologies

Abstract

In this paper, we mainly focus on the use of sign language as an optimal means of communication in underground mines. Deep mining takes place in a highly technical and demanding environment, requiring major new solutions and best practices, as well as increased safety regulations, in order to overcome the hurdles and reap significant economic benefits. In this proposed solution, we use the technology of image processing to detect and recognise hand signs and convert them into audio messages which can be communicated to each worker in a wireless and hassle-free manner.