SINVI: smart indoor navigation for the visually impaired

Vision is an important sensory functionality of humans. Without which, navigation would be difficult and hazardous. In this paper, we outline the use of a novel approach to developing an automated guiding system for the blind. The approach is to use visual clues interpreted from images captured from a lightweight camera, mounted on a user. Visual clues are deciphered from the surrounding environment of the user. With just this information, the system would be able to guide the user through an indoor environment via audio cues. Majority of the visual clues would be gathered from the ceiling region. This is due to its low probability of being obscured, thereby increasing the chances of successful navigation.