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A method for detecting electronic connectors based on machine vision

An electronic connector and detection method technology, applied in the field of computer program design, can solve the problems of affecting the conductivity of the connector, affecting the quality of the connector, and the connection terminal stamping is not in place, so as to achieve accurate segmentation effect, fast operation speed and accurate judgment Effect

Inactive Publication Date: 2016-09-07
GUANGDONG UNIV OF TECH
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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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  • A method for detecting electronic connectors based on machine vision
  • A method for detecting electronic connectors based on machine vision
  • A method for detecting electronic connectors 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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Abstract

The invention discloses a machine vision-based electronic connector detection method, which belongs to the technical field of computer program design and includes image collection, image analysis and processing, and the like. The actual target image is processed by image smoothing, image segmentation, image matching, edge extraction, color recognition and other methods to obtain the complete geometric characteristics of electronic connector defects, so as to realize automatic detection. Experiments have proved that the detection results of the system are consistent with the detection results of human eyes, which not only ensures the accuracy of detection, but also greatly improves the efficiency of electronic connector detection.

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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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G01R31/02
Inventor 战荫伟谭台哲尚鹏
Owner GUANGDONG UNIV OF TECH
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