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Method for detecting on-off of etched 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, and high cost, and achieve the effect of improving accuracy.

Active Publication Date: 2020-12-22
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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  • Method for detecting on-off of etched circuit
  • Method for detecting on-off of etched circuit
  • Method for detecting on-off of etched circuit

Examples

Experimental program
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Effect test

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 invention relates to a method for detecting on-off of an etching circuit. The method comprises the following steps: S1, acquiring an original image of the etching circuit; s2, preprocessing: determining a to-be-detected target area of the etching circuit based on the original image; s3, feature extraction: extracting a skeleton of the target area and joint points and end points of the skeleton, S4, connectivity judgment: judging whether the joint points and the end points are defects or not according to the corresponding conditions of the joint points and the end points, and counting the number of the defects; and S5, result judgment: judging whether the etched circuit is NG or not according to the number of defects. Compared with the traditional technology, the requirement for the product manufacturing process is relatively low, the requirement for the picture quality is also relatively low, and the target skeleton can be extracted; the applicability of the traditional technologyis relatively low, while only the method for extracting the target area needs to be adjusted, and the subsequent steps can be continued; the situation that the detection circuit has branches but is not short-circuited can be judged according to the relationship between the skeleton endpoint and the connection point, and the accuracy 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 ...

Claims

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Application Information

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Patent Type & Authority Applications(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