Digital multimeter identification method

By using high-definition camera images to collect and background image detection algorithms in the digital multimeter automatic verification system, the methods of removing interference, Fourier transform correction and raster scanning recognition are solved, and efficient and accurate automatic verification of digital multimeter is achieved.

CN119832533APending Publication Date: 2025-04-15HUBEI CUGUANG 3D SENSING TECH CO LTD
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Patent Information

Application Number
CN202411917803.3
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-24
Publication Date
2025-04-15

AI Technical Summary

Technical Problem

The character recognition algorithm and software of the existing digital multi-meter automatic verification system have not yet met the high standards of users in terms of reliability and speed, and cannot fully meet the requirements of automatic verification.

Method used

A digital multi-table identification method is proposed. Digital images are collected through high-definition cameras, background image detection algorithm is used to remove background interference, two-dimensional Fourier transform to obtain the character tilt angle, perform miscut correction, and identify numbers through raster scanning and seven-segment code method.

Benefits of technology

It improves the efficiency and accuracy of automatic verification of digital multi-user meters, enhances noise resistance, and achieves fast and high-accuracy digital recognition.

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Abstract

The invention discloses a digital multimeter identification method, which comprises the following steps of: acquiring a background image of a digital multimeter which is not started; the method comprises the following steps: acquiring an image when a signal is input after startup, displaying numbers on a dial plate at the moment, and performing segmentation and color conversion on the digital image to obtain a grayscale image; determining whether the grayscale image of the digital image contains a background image, and subtracting the acquired image to obtain a background-free character image; carrying out two-dimensional Fourier transform on the digital image to obtain a spectrogram, analyzing a local peak value trend on the spectrogram to obtain an inclination angle of a character, carrying out shear correction on the digital image according to the angle, and changing the image into a character image without inclination; the position of each character is determined through raster scanning, the position of each stroke segment of each character is determined, and each number is recognized through a seven-segment code method. The method for obtaining the character inclination angle through two-dimensional Fourier transform is high in speed, good in stability and easy to program and implement.
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