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Circuit board defect detection method and device

A defect detection and circuit board technology, used in character and pattern recognition, image data processing, instruments, etc., can solve the problems of high detection cost, low efficiency and low accuracy, and achieve the effect of improving accuracy and efficiency

Active Publication Date: 2019-06-11
BEIJING BAIDU NETCOM SCI & TECH CO LTD
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  • Claims
  • Application Information

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Problems solved by technology

[0005] This application proposes a circuit board defect detection method and device, which solves the technical problems of low accuracy, high detection cost and low efficiency in the prior art when the circuit board defect detection relies on manual detection

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  • Circuit board defect detection method and device
  • Circuit board defect detection method and device
  • Circuit board defect detection method and device

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Embodiment Construction

[0051]Embodiments of the present application are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary, and are intended to explain the present application, and should not be construed as limiting the present application.

[0052] The embodiment of this application aims at the technical problems of high detection cost, low accuracy of detection results and poor real-time performance in the prior art where the detection of circuit board defects relies on purely manual detection methods, and proposes a circuit board defect detection method.

[0053] The circuit board defect detection method provided by the embodiment of the present application obtains the photographed image of the circuit board under test, and performs pixel information difference...

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Abstract

The invention provides a defect detection method and device for a circuit board. The method comprises the following steps of: obtaining a shot image of a tested circuit board; carrying out pixel information difference on corresponding pixels of the shot image and the standard image; obtaining a difference value of the corresponding pixel; synthesizing the pixel information of each pixel of the shot image with the differential value of the corresponding pixel; obtaining an input image according to the input image of a tested circuit board, inputting the input image into a trained classificationmodel to determine defect information of the tested circuit board according to the output of the classification model, and learning the classification model to obtain image features of the input image corresponding to the circuit boards with various defects. Because the classification model learns to obtain the image features of the input images corresponding to the circuit boards with various defects, the differential value is added to the pixel information of the shot image for image feature extraction, the input data of the classification model can be enriched, and the accuracy and efficiency of defect detection of the detected circuit board can be improved.

Description

technical field [0001] The present application relates to the technical field of deep learning and image processing, and in particular to a method and device for detecting defects of circuit boards. Background technique [0002] At present, circuit board manufacturing relies on automated industrial production lines. Due to the increasing integration of electronic components of circuit boards, the production process of circuit boards is becoming more and more complicated. Defective circuit boards will inevitably appear during the process of circuit board generation. Therefore, Defect detection on the circuit board can avoid circuit board damage caused by defects. [0003] In the prior art, circuit board production enterprises mainly use manual detection methods to detect defects on circuit boards. However, manual inspection requires staff to inspect with naked eyes, which has the disadvantages of high detection cost, low accuracy, and low efficiency. Contents of the invent...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06T7/00
Inventor 文亚伟苏业刘明浩郭江亮李旭
Owner BEIJING BAIDU NETCOM SCI & TECH CO LTD
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