Fast recognition method of switch multi-state based on AR technology

Kai Gao; Zheng-yong Hu; Mao-xin Ren; Shao-jing Wang; Hui Bai

doi:10.1117/12.2634514

12 May 2022 Fast recognition method of switch multi-state based on AR technology

Kai Gao, Zheng-yong Hu, Mao-xin Ren, Shao-jing Wang, Hui Bai

Proceedings Volume 12173, International Conference on Optics and Machine Vision (ICOMV 2022); 121731I (2022) https://doi.org/10.1117/12.2634514
Event: International Conference on Optics and Machine Vision (ICOMV 2022), 2022, Guangzhou, China

Abstract

The multi-state rapid recognition of switches is the basic service of the AR intelligent interactive system. In order to minimize the computational burden, this article first analyzes the state characteristics of different types of switches, and introduces the advantages of HoloLens2 AR smart glasses in the recognition of the switch state. Then, according to the degree of importance, the laser point cloud scanning technology is used to generate a three-dimensional model of the equipment object and the surrounding environment that takes into account the accuracy and the amount of data. Finally, the visual SLAM algorithm technology based on the feature point method is used to complete the rapid recognition of the switch multi-state. Practical applications show that, for the switch state on the device, the recognition rate of the AR technology-based switch multi-state rapid recognition method proposed in this paper is up to 100%, which meets the needs of the AR intelligent interactive system.

Citation Download Citation

Kai Gao, Zheng-yong Hu, Mao-xin Ren, Shao-jing Wang, and Hui Bai "Fast recognition method of switch multi-state based on AR technology", Proc. SPIE 12173, International Conference on Optics and Machine Vision (ICOMV 2022), 121731I (12 May 2022); https://doi.org/10.1117/12.2634514

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