Vision: A Deep Learning Approach to provide walking assistance to the visually impaired

Nikhil Thakurdesai; Anupam Tripathi; Dheeraj Butani; Smita Sankhe

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arXiv · 1911.08739

Vision: A Deep Learning Approach to provide walking assistance to the visually impaired

Nikhil Thakurdesai·Anupam Tripathi·Dheeraj Butani·Smita Sankhe

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Abstract

Blind people face a lot of problems in their daily routines. They have to struggle a lot just to do their day-to-day chores. In this paper, we have proposed a system with the objective to help the visually impaired by providing audio aid guiding them to avoid obstacles, which will assist them to move in their surroundings. Object Detection using YOLO will help them detect the nearby objects and Depth Estimation using monocular vision will tell the approximate distance of the detected objects from the user. Despite a higher accuracy, stereo vision has many hardware constraints, which makes monocular vision the preferred choice for this application.

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BibTeX RIS

Nikhil Thakurdesai, Anupam Tripathi, Dheeraj Butani, Smita Sankhe. 2019-11-20. Vision: A Deep Learning Approach to provide walking assistance to the visually impaired. https://arxiv.org/abs/1911.08739

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