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Smartphone application for indoor scene localization

Blind people are unable to navigate easily in unfamiliar indoor environments without assistance. Knowing the current location is a particularly important aspect of indoor navigation. Scene identification in indoor buildings without any Global Positioning System (GPS) is a challenging problem. We present a smart phone based assistive technology which uses computer vision techniques to localize the indoor location from a scene image. The aim of our work is to guide blind people during navigation inside buildings where GPS is not effective. Our current system uses a client-server model where the user takes a photo from their current location, the image is sent to the server, the location is sent back to the mobile device, and a voice message is used to convey the location information.