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A method for detecting on-off of etching circuit

An etching and circuit technology, applied in the field of machine vision detection algorithm development, can solve the problems of low applicability, high production process and precision requirements, high cost, etc., and achieve the effect of improving accuracy

Active Publication Date: 2021-03-30
高视科技(苏州)股份有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The traditional technology needs to select a suitable product to make a template, which requires high production technology and precision of the product; the applicability of the traditional technology is relatively low, because the traditional technology involves making a template, so when the product model is changed, the extraction target area needs to be readjusted In this method, the template needs to be re-made, and the screening conditions after making the difference need to be re-adjusted, and the cost is relatively high; in addition, the traditional technology has branches in the circuit, but there is no short circuit, which will cause false detection

Method used

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  • A method for detecting on-off of etching circuit
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  • A method for detecting on-off of etching circuit

Examples

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Embodiment 1

[0059] Example 1: Short circuit defect

[0060] The following is attached Figure 7-9 The short circuit defect detection in the present invention will be further described.

[0061] S1: image acquisition;

[0062] S2: Preprocessing: Segment by global threshold, and then use the area parameter to remove the areas above and below the image that do not participate in the detection;

[0063] S3: Feature extraction: Use a filter kernel with a size of 25 to perform mean filtering on the image, and then use the dynamic threshold segmentation method to segment the black line area in combination with the three screening parameters of area, width and height, such as Figure 8 shown. Finally, extract the skeleton of the black area, as well as the endpoints and junctions of the skeleton, such as Figure 9 shown;

[0064] S4: Connectivity judgment: Figure 9 The two points shown are the two endpoints of the skeleton, and the distance from the edge of the image is more than 20 pixels,...

Embodiment 2

[0065] Embodiment 2: Open circuit defect

[0066] Further description will be made below in conjunction with 10-14 the open circuit defect detection in the present invention.

[0067] S1: image acquisition;

[0068] S2: Preprocessing: Through global threshold segmentation and area screening parameters, the areas above and below the image that do not participate in the detection are removed;

[0069] S3: Feature extraction: Use a filter kernel with a size of 25 to perform mean filtering on the image, and then use the dynamic threshold segmentation method to segment the black line area in combination with the three screening parameters of area, width and height, such as Figure 11 shown. Then, make a difference between the entire area and the extracted black etching line area to obtain a white silver paste area, such as Figure 12 shown. Finally, extract the skeleton of the white silver paste region, as well as the endpoints and junctions of the skeleton. in, Figure 13 is...

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Abstract

The present invention relates to a method for detecting whether an etching circuit is on or off, and the steps are as follows: S1: collecting the original image of the etching circuit; S2: preprocessing, determining the target area of ​​the etching circuit based on the original image; S3: feature extraction, extracting The skeleton of the target area and its joints and endpoints, S4: Connectivity judgment, judge whether the place is a defect according to the corresponding situation of the joint point and the endpoint, and count the number of defects; S5: Results judgment, judge the etching circuit according to the number of defects Whether it is NG. Compared with the traditional technology, the present invention has relatively lower requirements on the product manufacturing process, and relatively looser requirements on the picture quality, and can extract the target skeleton; the applicability of the traditional technology is relatively low, while the present invention only needs to adjust the extraction target area. method, and the subsequent steps can be extended; if the detection circuit has branches but no short circuit occurs, it can be judged according to the relationship between the end points of the skeleton and the connection points, and the accuracy rate is high.

Description

technical field [0001] The invention relates to the field of machine vision detection algorithm development, in particular to a method for detecting on-off of an etching circuit. The detection algorithm uses the skeleton of the image to judge the connectivity of the etched circuit, and completes the on-off detection of the etched circuit. Background technique [0002] Printed Circuit Board (PCB) is the main basic component of electronic products and enjoys the reputation of "mother of electronic products". In recent years, with the rapid development of the electronics industry, the development of the PCB manufacturing industry is also very rapid. Among the many processes in PCB manufacturing, etching is one of the most important processes. The etching process is very important in the PCB manufacturing process, and controlling the quality of the etching process is the key to ensuring quality and performance. Based on the above status quo, it is particularly important to de...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00G06T7/136G06T7/155G06T7/187G06T7/62
CPCG06T7/0004G06T2207/30141G06T7/136G06T7/155G06T7/187G06T7/62
Inventor 周煦成吴垠姜涌杜亚玲任培昊
Owner 高视科技(苏州)股份有限公司