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Keywords

field inspection, secondary circuit, scene text detection, EAST, DBSCAN clustering, linear regression

Abstract

The field inspection of the secondary circuit is an important step in the field inspection of the gateway electrical energy metering device. However, the method of finding a secondary circuit terminal to be tested was rather complicated in the past. In order to optimize the process of finding terminals to be tested, this paper proposes a terminal number detection method based on EAST. In this method, the training dataset is first established, and the EAST model is trained. The trained model is used to detect the text in the terminal block image and outputs the size and position information of the terminal number region. Then, the region coordinates were clustered by DBSCAN clustering to distinguish possible multi-column terminals, and the tilt angle of each column terminal was calculated by linear regression. Finally, combined with the tilt angle and the average width and height of the region, the corrected detection results of the terminal number region are obtained. Examples show that this method can accurately detect the terminal number in the image and effectively improve the efficiency of terminal detection, which lays a foundation for the subsequent secondary circuit inspection work.

DOI

10.19781/j.issn.1673-9140.2022.05.024

First Page

215

Last Page

221

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