Method for detecting and recognizing pointer meter reading based on deep learning

Hang Liu; Zhenlin Huang; Lin Tian; Baohao Chen; Haijiao Jiang; Weihua Ren

doi:10.1117/12.2628513

7 March 2022 Method for detecting and recognizing pointer meter reading based on deep learning

Hang Liu, Zhenlin Huang, Lin Tian, Baohao Chen, Haijiao Jiang, Weihua Ren

Proceedings Volume 12167, Third International Conference on Electronics and Communication; Network and Computer Technology (ECNCT 2021); 121672R (2022) https://doi.org/10.1117/12.2628513
Event: 2021 Third International Conference on Electronics and Communication, Network and Computer Technology, 2021, Harbin, China

Abstract

As an instrument widely used in substations, pointer meters are mainly used to detect the working status of substation equipment, so regular calibration is very important. In order to solve the problems of extraction difficulty, large positioning error and poor recognition accuracy in the reading recognition of pointer meters, a method for automatic reading detection and recognition of pointer meters based on deep learning is proposed. Use the improved EAST algorithm to extract character features, and perform module detection on the results. It is concluded that the automatic detection and recognition of analog meters under complex backgrounds has good accuracy and stability, which can meet the application needs of substations.

Citation Download Citation

Hang Liu, Zhenlin Huang, Lin Tian, Baohao Chen, Haijiao Jiang, and Weihua Ren "Method for detecting and recognizing pointer meter reading based on deep learning", Proc. SPIE 12167, Third International Conference on Electronics and Communication; Network and Computer Technology (ECNCT 2021), 121672R (7 March 2022); https://doi.org/10.1117/12.2628513

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