Stereovision based travel aid system for people with a vision impairment

Rapidly growing computation power of portable devices together with significant progress in computer vision allow to adopt new nearly realtime solutions for aiding the blind persons during the travel. Recent solutions for people with vision impairment are dedicated to support the user during the decision process, giving the information about divert obstacles located in the environment. Commonly they are using ultrasonic echo-location for obstacles tracking without its classification and recognition. Therefore the solution presented in this paper engages the stereo camera and image processing algorithms to facilitate its user with object detection and recognition mechanisms. The inference engine combined together with ontology based problem modeling allows to handle the risk, predict possible user's moves and provide the user with appropriate set of tips that will eliminate or reduce the discovered risk.