Multi-feature fusion pointer type meter automatic identification method and system

Through the automatic recognition method of pointer type meter with multi-feature fusion, the dial circular area is fitted with the YOLOX model and the least squares method, and feature points are extracted and mapped, which solves the problems of insufficient identification efficiency and low accuracy in the existing technology, and achieves more efficient and accurate instrument reading recognition.

CN119723262APending Publication Date: 2025-03-28FUJIAN JIANGXIA UNIV
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Patent Information

Application Number
CN202411754467.5
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-02
Publication Date
2025-03-28

AI Technical Summary

Technical Problem

The existing pointer instrument reading recognition methods have shortcomings in recognition efficiency and accuracy, especially in complex environments, which can easily lead to a decrease in reading recognition accuracy and an increase in calculation complexity.

Method used

The automatic recognition method of pointer type meter with multi-feature fusion is adopted to identify the dial area through the YOLOX model, and the dial circle area is fitted with the least squares method, and the scale lines and pointer feature points are extracted to establish a feature point mapping relationship, and then the instrument reading is determined.

Benefits of technology

It improves the efficiency and accuracy of instrument reading recognition, reduces the reading inaccuracy caused by image distortion, tilt or extraction error, adapts to the reading requirements of different types of instruments, and expands application scenarios.

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Abstract

The invention discloses a multi-feature fusion pointer type meter automatic identification method and system. The method comprises the steps of obtaining a to-be-identified instrument image; constructing a dial region recognition model and a feature point extraction model; using the dial region recognition model to extract a dial region in a to-be-recognized instrument image, and generating a dial image and an instrument type; a feature point extraction model detects scale line feature points and pointer feature points in the dial image; fitting a dial plate circular area through the scale line feature points to obtain dial plate circle center coordinates; obtaining two scale line feature points nearest to the pointer feature point through the spatial position relation; establishing a mapping relation between scale line feature points and dial template feature points when a shielding inclination condition occurs, and mapping pointer features to a dial circular area; and the instrument reading is determined through the coordinate information of the pointer characteristics on the circle, the characteristics of the two nearest scale marks of the pointer and the instrument type. According to the invention, the reading of the pointer meter can be accurately and rapidly identified.
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