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Method for dimension measurement of hardware parts based on CCD area-array camera visual inspection

A technology for hardware parts and visual inspection, applied in the field of image processing, can solve the problems of high inspection accuracy, failure to meet the required inspection level, and machine vision technology is not particularly perfect.

Inactive Publication Date: 2018-02-16
GUANGDONG UNIV OF TECH
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Problems solved by technology

[0003] However, at this stage, machine vision technology is not particularly perfect, and to a certain extent, it cannot meet the required detection level, so researchers have gradually shifted their research focus to how to use machine interaction methods to quickly complete the detection process, and the detection accuracy is high

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  • Method for dimension measurement of hardware parts based on CCD area-array camera visual inspection

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Embodiment Construction

[0037] The technical solutions of the present invention will be further described below in conjunction with the accompanying drawings and through specific embodiments.

[0038] A method for measuring the size of hardware parts based on CCD area array camera visual detection, comprising the following steps;

[0039] A. Determine whether to train the artificial neural network, if not, perform the training of the artificial neural network;

[0040] B. Carry out camera correction by collecting multiple calibration board images, and save relevant calibration information;

[0041] C. Set up a laser sensor at the light-emitting point of the camera to measure the vertical distance from the light-emitting point of the lens to the detection surface;

[0042] D. The computer triggers and controls the industrial camera through the software to take pictures of a hardware part with a standard size as the original image sample, and collect the template area in the clear image;

[0043] E. ...

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Abstract

The objective of the invention is to provide a method for dimension measurement of hardware parts based on CCD area-array camera visual inspection. The measurement method can be applicable to a production line through adoption of algorithm principles such as a camera calibration principle, a machine vision processing program, binaryzation image processing, template matching, a program of solutionof a maximum bounding box of a workpiece, a program of the BP algorithm training artificial neural network and the like. Compared to the prior art, the whole system has more transplantability and a higher automation degree and can greatly improve detection efficiency. Compared to human detection, error randomness is small, errors are relatively smaller, there is not any damaging for detected products, and therefore the method provided by the invention can steadily perform measurement and analysis for a long time, fatigue cannot be generated, and a lot of labor forces can be saved.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a method for measuring the size of hardware parts based on the visual detection of a CCD area array camera. Background technique [0002] In today's society, the development of the electronics industry, aerospace industry, and automobile industry has higher and higher requirements for the accuracy of workpieces. In traditional workpiece inspection processes, vernier calipers or screw micrometers are generally used for manual measurement, which has low efficiency and large randomness in measurement accuracy. , can no longer meet the requirements of modern industry on the efficiency and accuracy of the measurement process. In the traditional workpiece inspection, workers need to know the size of the qualified workpiece to judge whether the new workpiece is qualified, and then develop the machine vision method to simply compare the images of the qualified workpiece and the ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/12G06T7/136G06T7/62G06T7/80G01B11/00
CPCG01B11/00G06T7/0004G06T2207/10004G06T2207/20081G06T2207/20084G06T2207/30164G06T7/12G06T7/136G06T7/62G06T7/80
Inventor 李海艳何浩
Owner GUANGDONG UNIV OF TECH
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