A RASPBERRY PI BASED ASSISTIVE AID FOR VISUALLY IMPAIRED USERS

Electronics and Communication Engineering

According to who fact sheet of 2013, 39 million people are blind and 246 million have low vision. With 82% of blind population being 50 years old or above, there are many who have lived majority of their lives with an inability to do tasks like read, write or walk without help. This paper describes the implementation of Raspberry based assistive aid for visually impaired users using speed-ed up robust feature (SURF) algorithm. The proposed method develops a progressive work for developing an assistive aid for visually impaired, which will help them in color identification, currency denomination recognition, obstacle detection as well as reading newspapers and books. The main advantage of using SURF method is its high speed and also ability to compare and recognize feature points of currency notes during payments. A prototype at the low cost is developed to the problems being faced by the visually impaired while interacting with their environment.

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