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An Artificial Intelligence Edge Computing-Based Assistive System for Visually Impaired Pedestrian Safety at Zebra Crossings
IEEE Transactions on Consumer Electronics ( IF 4.3 ) Pub Date : 2020-11-10 , DOI: 10.1109/tce.2020.3037065
Wan-Jung Chang , Liang-Bi Chen , Cheng-You Sie , Ching-Hsiang Yang

This article proposes a wearable assistive system based on artificial intelligence (AI) edge computing techniques to help visually impaired consumers safely use marked crosswalks, or zebra crossings. The proposed wearable assistive system consists of a pair of smart sunglasses, a waist-mounted intelligent device, and an intelligent walking cane (stick). A deep learning technique is adopted for zebra crossing image recognition in real time. Visually impaired consumers need to wear the proposed smart sunglasses and waist-mounted intelligent device and hold the proposed intelligent walking cane when they approach a zebra crossing. When a visually impaired pedestrian reaches a zebra crossing, they will immediately receive a message about the current situation at the crossing and the traffic light signal. Experimental results show that the accuracy of real-time zebra crossing recognition of the proposed system can reach up to 90%.

中文翻译:

斑马线交叉口视障行人安全的基于人工智能边缘计算的辅助系统

本文提出了一种基于人工智能(AI)边缘计算技术的可穿戴辅助系统,以帮助视力障碍的消费者安全地使用带有标记的人行横道或斑马线。拟议的可穿戴辅助系统由一副智能太阳镜,一个安装在腰部的智能设备以及一个智能拐杖(拐杖)组成。深度学习技术用于实时斑马线图像识别。视力障碍的消费者在接近斑马线时,需要戴上建议的智能太阳镜和腰部安装的智能设备,并握住建议的智能拐杖。当有视力障碍的行人到达斑马线时,他们将立即收到有关该路口当前情况和交通信号灯的消息。
更新日期:2020-11-10
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