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Dr. Mostafa abdallah abbas atwa elgendy :: Publications: |
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| Title: | Helping People with Visual Impairments to Avoid Obstacles Using Deep Learning |
| Authors: | Mostafa Elgendy, Cecilia Sik Lanyi |
| Year: | 2022 |
| Keywords: | YOLOv3;Tiny-YOLOv3;Deep learning; People with visual impairment; Obstacle detecting; Indoor navigation |
| Journal: | Proceedings of Sixth International Congress on Information and Communication Technology |
| Volume: | 216 |
| Issue: | Not Available |
| Pages: | 909-917 |
| Publisher: | Springer |
| Local/International: | International |
| Paper Link: | |
| Full paper | Not Available |
| Supplementary materials | Not Available |
| Abstract: |
Doing activities such as navigation is a big problem for people with visual impairment. It makes them inactive and isolates them from communicating with the people around them. A lot of technological interventions have been proposed to solve and overcome these problems. This paper proposes a solution to identify popular objects and avoid obstacles around them. YOLOv3 and Tiny-YOLO3 deep learning models are trained with multiple images containing obstacles that the visually impaired person will face indoors. The results show an average accuracy of 94.6% for object detection while using the YOLOv3 model, and 97.91% recognition accuracy is achieved for using the same model. |
