Abstract
Currently, estimated facts state that there are more than 285 million visually impaired people around the globe, of which 39 million are blind and the others have a low vision [1]. Approximately 90% of people suffering from blindness are from low-income backgrounds [2]. The main aim of this paper is to provide an efficient visual platform to enhance the perception of the surroundings for a visually impaired user. This is achieved by using the concept of real-time image and video processing. This data is analyzed and compared along with the database which consists of pre-stored data that aids in recognition of the captured image.
A head mount camera is used to capture an image on a real-time basis whenever desired. The camera is placed to provide a maximum field of vision and to eliminate the blind spot. The captured image is then processed and compared with the information stored in the database, providing an audio output indicating the desired information. Audio output is provided through bone conduction headphones which communicate audio signals directly with the inner ear. This keeps the outer ear free to be sensitive to the surroundings. A distress alert mechanism is also included as a safety measure to the blind at times of danger. It helps in sending messages containing distress alert signal which contains current location of the user.