Supreeth K Rao¹, Arpitha Prasad B¹, Anushree R Shetty¹, Chinmai¹, R.Bhakthavathsalam² and Rajeshwari Hegde¹, ¹BMS College of Engineering, India and ²Indian Institute of Science, India

A smart navigation system (an Electronic Travel Aid) based on an object detection mechanism has been designed to detect the presence of obstacles that immediately impede the path, by means of real time video processing. In this paper this is discussed, keeping in mind the navigation of the visually impaired. A video camera feeds images of the surroundings to a Da-Vinci Digital Media Processor, DM642, which works on the video, frame by frame. The processor carries out image processing techniques whose result contains information about the object in terms of image pixels. The algorithm aims to select the object which, among all others, poses maximum threat to the navigation. A database containing a total of three sounds is constructed. Hence, each image translates to a beep, where every beep informs the navigator of the obstacles directly in front of him. This paper implements an algorithm that is more efficient as compared to its predecessors.

Electronic Travel Aid (ETA), Navigation, Edge Detection, Flood Function, Object Detection, DM642, Acoustic Transformation