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Electronic connector detection method based on machine vision

A technology for electronic connectors and detection methods, which is applied in the field of computer program design, can solve problems affecting the conductivity of connectors, insufficient stamping of connecting terminals, and bad stamping, and achieve fast calculation speed, accurate judgment, and accurate segmentation effect.

Inactive Publication Date: 2014-01-29
GUANGDONG UNIV OF TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0009] During the stripping process, the copper core may be cut off and affect the conductivity of the connector. During the stamping process, the connecting terminals are easily stamped out of position or stamped badly, which affects the quality of the connector.

Method used

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  • Electronic connector detection method based on machine vision
  • Electronic connector detection method based on machine vision
  • Electronic connector detection method based on machine vision

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Embodiment Construction

[0029] When counting copper cores, first we obtain the approximate area of ​​the copper core bundle through the profile of the copper core bundle section, and take this area as the area of ​​interest. Then, the copper core bundle is segmented by the fixed threshold method, and the segmented area is stretched, so that the distance between the copper cores is enlarged to prepare for the next segmentation. Segment the stretched image with the watershed segmentation algorithm (such as figure 2 shown). The watershed segmentation method is a mathematical morphology segmentation method based on topology theory. Its basic idea is to regard the image as a "topographic map", in which the pixel values ​​​​in areas with relatively strong brightness are larger, and the pixel values ​​​​in darker areas are larger. The image is segmented by finding the "catchment basin" and "watershed boundary". The watershed algorithm is often used to deal with such problems that the target objects in th...

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PUM

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Abstract

The invention discloses an electronic connector detection method based on machine vision, and belongs to the technical field of computer program design comprising image acquisition, analysis and processing. Actual targeted images are processed by various methods of image smoothing, image segmentation, image matching, edge extraction and color recognition, complete geometrical characteristics of defects of the electronic connector are acquired, and automatic detection can be realized. According to experiments, system detecting results is consistent with visual detecting results, accuracy of the detection is guaranteed, and detecting efficiency of the electronic connector is improved greatly.

Description

technical field [0001] The invention belongs to the technical field of computer program design, and in particular relates to the electronic connector detection aspect of machine vision. Background technique [0002] An electronic connector is a mechanical component with electrical connection characteristics. Its main function is to play the role of electrical connection and signal transmission between devices and components, components and cabinets, systems and subsystems, and is an electrical component that constitutes the entire circuit system. One of the essential elements of connection. It has been widely used in aviation / aerospace, military equipment, communications, computers, automobiles, industry, household appliances and other fields, and has now developed into one of the pillar industries of today's basic electronic information products. [0003] In recent years, with the rapid growth of China's consumer electronics, network design, and communication terminal prod...

Claims

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Application Information

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IPC IPC(8): G06K9/00G01R31/02
Inventor 战荫伟谭台哲尚鹏
Owner GUANGDONG UNIV OF TECH
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