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Projects > ELECTRONICS > 2019 > NON IEEE > EMBEDDED SYSTEMS
Our proposed device is an automated one, which helps a visually impaired person detect the obstacles either through beep or vibrations allowing him to walk confidently and smartly even in a crowded area. According to World Health Organization (WHO), it is estimated that approximately 1.3 billion people live with some form of vision impairment where India is said to be the home to world’s largest number of blind people. Thus, we have come up with the solution of this innovation using multidisciplinary subjects which is reliable and cost effective. The device uses Arduino Pro Mini which is worn like a band. It uses ultrasonic sensors to detect the closeness of the obstacle (up to 50 cm) which instantly signals the user with variation of beeps and vibrations with respect to the closeness of the obstacle. Wearing one of these devices is desirable but it would be more efficient if it is worn at five different parts of the body - two for shoulders, two for knees and one in palm. The device is expected to give better results than the traditional ways of using white cane and trained dogs.
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