Instrument image automatic identification method based on OpenCV

Abstract

The invention discloses an instrument image automatic identification method based on OpenCV. The instrument image automatic identification method comprises the following steps: reading an instrument image collected by a camera, carrying out template matching, carrying out template matching on a known template and an existing image, comparing each pixel point of an input image with the template, calculating one value for each pixel point, recording the level of similarity after the pixel points are compared with the template, selecting the points mostly approaching the template, and selecting a mode corresponding to the template so as to carry out further identification; and reading instrument data, carrying out simple image processing on the image, then entering respective reading passages to carry out reading identification, and finally displaying reading. According to the instrument image automatic identification method, reading on an instrument can be quickly and accurately identified, and the identified result has relatively high stability, accuracy and repeatability.

Description

technical field [0001] The invention relates to an identification method, in particular to an OpenCV-based automatic instrument image identification method. Background technique [0002] With the development of intelligent monitoring industry and security industry at home and abroad, machine vision is more and more used in human behavior and expression recognition, PCB printed circuit detection, digital and pointer instrument recognition, product appearance detection, logistics goods classification and many other aspects. Machine vision replaces artificial vision and enters various fields, greatly improving people's production and living efficiency. [0003] At present, many pointer instruments are used to display the operating status of many equipment in power system substations, such as voltmeter, ammeter, barometer, thermometer, power meter, oil temperature gauge, oil pressure gauge, arrester gauge and so on. These instruments generally do not have the function of data l...

AI Technical Summary

Problems solved by technology

These instruments generally do not have the function of data line interface, and cannot realize the real-time monitoring, recording and analysis of the parameters measured by the instrument, so that the automatic control of the operation of the smart substation cannot be realized, and it cannot be used in the event of equipment failure or major safety hazards. In case of timely and rapid alarm

In addition, the data of the recording instrument is mainly observed by the human eye at close range, manual recording, and manual data analysis. The detected readings have low precision, poor repeatability, and poor reliability. Human visual fatigue can easily cause errors in identifying data and recording data

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