When hearing and sight fail, the human need for communication continues to remain intact. Deafblindness is a unique disability that combines varying degrees of both hearing and visual impairment. Individuals who are deaf-blind experience extreme challenges with communication and mobility. Over time and with the advancement in technology, a variety of communication technologies are available for deaf-blind individuals. Despite the available communication technology for deaf- blind individuals and the advancement in the field of Image Processing, we still lack a system/device to help deaf-blind individuals go independently. With the help of Image Processing, bone conduction and the education provided to them we can develop a warning system that provides environmental awareness to deaf-blind people, thus helping them participate in social norms independently. This paper provides the methodology to design and implement a device for the deaf-blind people. Finally, some potential topics and challenges for future research are highlighted.

Keywords : Bone Conduction, Haar cascade, OpenCV, TensorFlow.