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Element reverse detection method and system

A detection method and component anti-part technology, which is applied in computer parts, character and pattern recognition, image data processing, etc., can solve the problems of poor detection effect and achieve good detection effect, simple operation and high recognition rate

Active Publication Date: 2016-12-07
GUANGZHOU SHIYUAN ELECTRONICS CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0006] Based on this, it is necessary to provide a component detection method and system for the poor detection effect of the existing component polarity detection method

Method used

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  • Element reverse detection method and system

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Experimental program
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Embodiment Construction

[0021] Embodiments of the method and system for detecting defective components of the present invention will be described below with reference to the accompanying drawings.

[0022] figure 1 It is a flow chart of a method for detecting defective components in one embodiment. Such as figure 1 As shown, the component detection method may include the following steps:

[0023] S1, acquiring the image of the polar area and the image of the polar symmetric area of ​​the component under test on the circuit board; wherein, the polar area is the area where the electrode of the component under test is on the circuit board when it is installed correctly, and the polar symmetric area The area of ​​the electrode on the circuit board when it is a reverse element;

[0024] The schematic diagram of the polar region and the polar symmetric region described in the present invention is as follows figure 2 shown.

[0025] The image of the circuit board may be obtained first, then the polar ...

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Abstract

The invention relates to an element reverse detection method and system. The method comprises the following steps of obtaining a polarity area image and a polarity symmetric area image of a to-be-tested element on a circuit board, wherein a polarity area is an area of an electrode of the to-be-tested element on the circuit board when installation is correct, and the polarity symmetric area is an area of the electrode on the circuit board when installation is reversed; calculating a first color similarity between the polarity area image and a pre-stored polarity area reference image and a second color similarity between the polarity symmetric area image and a polarity area reference image respectively; and determining the to-be-tested element as reversed if the first color similarity is smaller than the second color similarity. The element reverse detection method and system does not require lots of training samples, only needs acquisition of the polarity area and the polarity symmetric area of the element. The operation is simple, the identification rate is high, and the detection effect is good.

Description

technical field [0001] The invention relates to the technical field of automatic optical detection, in particular to a method and system for component detection. Background technique [0002] AOI (Automatic Optic Inspection) is a device that uses optical principles to detect common defects in circuit board welding production. For plug-in circuit boards, common defect detection includes missing part detection, wrong part detection, reverse part detection, multiple part detection, etc. Among them, anti-component detection refers to the detection of diodes, capacitors, sockets and other polar components to determine whether there is a reverse phenomenon in the circuit board. [0003] At present, the anti-part detection of components mainly adopts intelligent methods, that is, the method of deep learning is used to train a large number of samples to obtain a classification model. Deep learning is a new field of machine learning research, which aims to simulate the mechanism of...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/40G06K9/62
CPCG06T7/001G06T2207/30141G06F18/22G06T7/00
Inventor 李红匣
Owner GUANGZHOU SHIYUAN ELECTRONICS CO LTD