{"id":83919,"date":"2014-04-29T04:59:01","date_gmt":"2014-04-29T01:59:01","guid":{"rendered":"https:\/\/www.technion.ac.il\/blog\/mobile-phone-application-for-the-blind\/"},"modified":"2014-04-29T04:59:01","modified_gmt":"2014-04-29T01:59:01","slug":"mobile-phone-application-for-the-blind","status":"publish","type":"post","link":"https:\/\/www.technion.ac.il\/en\/blog\/mobile-phone-application-for-the-blind\/","title":{"rendered":"Mobile Phone Application for the Blind"},"content":{"rendered":"
Three undergraduate students from the Faculty of Electrical Engineering at the Technion developed a seeing application for the blind, based on a Kinect camera, mobile phone application and headphones.<\/p>\n
The application is based on images from the surrounding area obtained from the depth camera, which helps the blind navigate inside a building, warning them of obstacles through voice indication, while identifying and directing them to studied objects in the room.<\/p>\n
The idea for the project was instigated by an undergraduate student, Tzahi Simkin. \u201cThe idea came to me while I was driving, where right before me I saw a blind man having trouble crossing the road. I thought to myself that if I could only describe to him, through technological means, a snapshot of the surrounding area, I would make it much easier for him and build his confidence in getting better oriented with his surroundings. I wanted to combine technological development with social assistance, and this is how this product was born; it connects a depth camera and cellular application, and integrates two different technological systems.\u201d<\/p>\n
Koby Koha<\/a>i with students Tzahi Simkin and Gal Dalal<\/p>\n Tzahi partnered up with two undergrads, Gal Dalal and Danny Zilber, and together the trio began working on the project. \u201cThe technological advantage of the Kinect camera lies in its ability to take very good depth images and that it is relatively cheap,\u201d added Tzahi. \u201cThis field is continually evolving, with cameras becoming smaller and less expensive all the time. Our project connected the depth images received from a smart phone application, to guide the blind within a given space.\u201d<\/p>\n \u201cThe camera sits on a belt and takes depth images of the surrounding area,\u201d explains Gal. \u201cThe wireless device processes the information received from the camera and gives a voice indication to the user through the application. The application we developed helps blind people navigate inside a building, warning them of obstacles through voice indication that identifies studies objects and directs the user to them. Studied objects refer to items such as keys or handbag that the application is previously programmed to recognize. In other words, there is an element of recognition and learning.\u201d<\/p>\n \u201cWhen there is an obstacle before someone who is blind, the application warns him\/her to stop and directs them right or left to bypass the barrier,\u201d says Tzahi.” We haven\u2019t yet tested the product with blind people, but we tested it ourselves when blindfolded, and it worked. Recently, we contacted the Association for the Blind in Haifa, so that we could test the application on site from people who are blind, our end users, and obtain feedback for needed improvements.\u201d<\/p>\n<\/a><\/p>\n