P‐4.32: Research on Natural Background Text Recognition Technology Based on AR Glasses

This paper proposes a novel application of AR glasses by deploying the YOLOv7 object detection algorithm on AR glasses devices. It enables the recognition and magnification of specific target objects, such as text in natural environmental backgrounds and traffic lights. This application aims to assi...

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Bibliographic Details
Published in:SID International Symposium Digest of technical papers 2024-04, Vol.55 (S1), p.868-871
Main Authors: Zhang, Kang, Zhang, Xiong, Zhong, Xuefei, Fan, Zhaowen
Format: Article
Language:English
Subjects:
Algorithms
AR glasses
deep learning
Object recognition
Traffic information
Traffic signals
Citations: Items that this one cites
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Summary:This paper proposes a novel application of AR glasses by deploying the YOLOv7 object detection algorithm on AR glasses devices. It enables the recognition and magnification of specific target objects, such as text in natural environmental backgrounds and traffic lights. This application aims to assist elderly people with visual impairments in identifying textual information and traffic light signals in their daily lives. We have carried out the design for two application scenarios: assisted reading and daily traffic. The feasibility of proposed design is verified through experiments.
ISSN:0097-966X
2168-0159
DOI:10.1002/sdtp.17225