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