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Pointer instrument positioning and indication recognition algorithm based on YOLOV5s

Fei Li, Wenliang Zhang, Bo He

Year
2024
Citations
2
Access
Open access

Abstract

Abstract The substation inspection robot has low accuracy in positioning and indication reading of the pointer instrument. An algorithm design for indicator recognition is proposed. The algorithm mainly includes dial area extraction, scale line extraction and dial center determination, zero scale line determination, and indicator recognition. An experimental system for pointer instrument positioning and indication recognition is constructed to verify the proposed algorithm. The results indicate that the positioning accuracy of the two instruments is 90.5% and 100% respectively. Ten positioned instruments are selected, and the reading recognition error is 0.126. It shows that the proposed pointer instrument positioning and indication recognition algorithm can improve the efficiency of substation instrument recognition.

Keywords

Pointer (user interface)Computer scienceArtificial intelligenceComputer visionAlgorithm

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