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A reading method of a pointer type meter based on depth learning

A technology of meter reading and deep learning, applied in the field of deep learning and computer vision, can solve the problems of low pointer positioning accuracy, difficult dial positioning, and large influence of lighting conditions.

Inactive Publication Date: 2019-03-29
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Purpose of the invention: In view of the problems in the prior art that the positioning of the dial is difficult, the positioning accuracy of the pointer is not high, and it is greatly affected by the lighting conditions, the present invention provides a method for reading pointer meters based on deep learning

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  • A reading method of a pointer type meter based on depth learning
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  • A reading method of a pointer type meter based on depth learning

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Embodiment Construction

[0058] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0059] Such as figure 1 , figure 2 , image 3 As shown, the working process of the automatic reading of the pointer instrument constructed by the method of the present invention is roughly divided into two stages: the first stage, marking the data set and training model; the second stage, fitting the pointer straight line, judging the direction of the pointer and calculating the pointer reading. The specific construction steps of the pointer instrument reading in the embodiment of the present invention are as follows:

[0060] Step 1, labeling the data set: First, use a visible light camera to take a certain number of pictures containing instruments (including pictures under different backgrounds, lighting conditions, and different scales), and then manually label the dial area and pointer area of ​​​​each image;

[0061] Step 2, model training: Us...

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Abstract

The invention discloses a reading method of a pointer type meter based on depth learning, belonging to the field of depth learning and computer vision. The method of the invention utilizes Mask- RCNNobject detection and instance segmentation algorithm to divide the dial and pointer images firstly, then correcting the dial by perspective transformation, Then using PCA (Principal Component Analysis) algorithm to fit the segmented instrument pointer, Then judging the direction of the pointer according to the center coordinate of the smallest oblique circumscribed rectangle of the pointer and thecenter coordinate of the dial; Finally, calculating the pointer reading according to the slope and direction of the pointer by using the angle method. As that method of the invention can accurately classify the type of the instrument, high precision pixel level segmentation of the pointer and dial, under non-uniform illumination conditions, different scales still have good robustness, to solve the traditional pointer instrument recognition field of the dial and pointer positioning difficulties, uneven light, mirror reflection, blurred pictures caused by low recognition accuracy.

Description

technical field [0001] The invention belongs to the field of deep learning and computer vision, and in particular relates to a method for reading pointer meters based on computer vision. Background technique [0002] The pointer instrument has the characteristics of simple structure, high reliability, convenient use, easy maintenance and anti-electromagnetic interference, and is widely used in today's industrial field. However, at present, most pointer instruments require manual reading, which can no longer meet the needs of modern industrial production due to a series of uncertain factors such as heavy workload, poor immediacy, low efficiency, high error, and easy reading accuracy due to the working environment. Moreover, due to long-term visual fatigue, manual readings are prone to misjudgment, so we consider using computers to replace humans for a large number of repetitive tasks, and develop a set of algorithms to automatically identify pointer instrument readings. For ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/32G06K9/34G06K9/62
CPCG06V10/25G06V10/267G06V2201/02G06F18/2135G06F18/24
Inventor 左琳何配林张昌华陈勇刘玉祥姬兴亮刘宇陈峦吴云峰
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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