Explosion-proof instrument monitoring and identification system based on OTSU

Xuanxuan Zhang; Shihao Huang; Wenming Xie; Zhou Guo; Hui Lv; Zhe Chen

doi:10.1117/12.2660630

31 October 2022 Explosion-proof instrument monitoring and identification system based on OTSU

Xuanxuan Zhang, Shihao Huang, Wenming Xie, Zhou Guo, Hui Lv, Zhe Chen

Proceedings Volume 12457, Second International Conference on Testing Technology and Automation Engineering (TTAE 2022); 124571N (2022) https://doi.org/10.1117/12.2660630
Event: Second International Conference on Testing Technology and Automation Engineering (TTAE 2022), 2022, Changchun, China

Abstract

A real-time and accurate monitoring and identification method for explosion-proof instruments is proposed for industrial practical projects, and a monitoring and identification system for explosion-proof instruments based on machine vision is developed. Firstly, according to the location of the monitored explosion-proof instrument, the original image of the explosion-proof instrument is obtained, and the instrument dial is obtained by using machine vision technologies such as Gaussian filter, OTSU, weighted average method, etc. Grasp the position of the pointer through the ring ROI area, and finally correct the pointer angle by using the geometric relationship to identify the reading of ammeter and voltmeter on the instrument panel and identify the status of the indicator light by using the gray value difference. The experimental results show that this method can recognize the reading of the pointer in different instrument panels and different pointer positions, and the recognition rate is 98%. The status of the indicator is accurately identified. The system meets the needs of real-time online monitoring and identification.

Citation Download Citation

Xuanxuan Zhang, Shihao Huang, Wenming Xie, Zhou Guo, Hui Lv, and Zhe Chen "Explosion-proof instrument monitoring and identification system based on OTSU", Proc. SPIE 12457, Second International Conference on Testing Technology and Automation Engineering (TTAE 2022), 124571N (31 October 2022); https://doi.org/10.1117/12.2660630

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available