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Circuit board surface defect detection method and device based on deep learning

A technology of deep learning and defect detection, applied in neural learning methods, image data processing, instruments, etc., can solve problems such as low precision and difficult detection, and achieve the effect of accurate surface defect detection

Inactive Publication Date: 2021-12-21
WUHAN FINEMEMS
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0005] The purpose of the present invention is to provide a circuit board surface defect detection method based on deep learning to solve the problems of high detection difficulty and low precision in the existing circuit board surface defect detection, so as to realize fast and accurate detection of surface defects detection

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  • Circuit board surface defect detection method and device based on deep learning
  • Circuit board surface defect detection method and device based on deep learning
  • Circuit board surface defect detection method and device based on deep learning

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Embodiment Construction

[0044] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below. Obviously, the described embodiments are part of the embodiments of the present invention, not all of them. the embodiment. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0045] In the description of the embodiments of the present invention, it should be noted that unless otherwise specified and limited, the terms "first", "second" and "third" are for the purpose of clearly explaining the numbering of product parts and do not represent any substantive gender distinction. Those of ordinary skill in the art can understand the specific meanings of the above terms in the embodimen...

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Abstract

The invention relates to the technical field of circuit board surface detection, discloses a circuit board surface defect detection method based on deep learning. and uses A circuit board surface defect detection device based on deep learning is utilized, and the device comprises a conveying positioning device, an image acquisition device, an image processing unit and a deep learning analysis processing unit. The circuit board surface defect detection device further comprises a deep learning analysis processing unit, which analyzes and processes a printed circuit board surface image preprocessed by the image processing unit through a preset deep learning algorithm and gives out a detection result so as to realize rapid and accurate circuit board surface defect detection.

Description

technical field [0001] The invention relates to the technical field of surface defects of circuit boards, in particular to a method and device for detecting surface defects of circuit boards based on deep learning. Background technique [0002] Printed Circuit Board (Printed Circuit Board) realizes the electrical connection between electronic components and is an indispensable and important part of electronic products. During the production process, the surface of the circuit board often has defects such as disconnection, dirt, and scratches due to equipment failures or human factors in the production process. Adverse effects, so manufacturers need to detect surface defects on circuit boards in order to find defective products in time and effectively control its quality. [0003] Some of the commonly used detection methods are as follows: 1) The circuit board defect detection method based on the template matching algorithm, builds the device library according to the collect...

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Application Information

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IPC IPC(8): G06T7/00G06N3/04G06N3/08
CPCG06T7/0004G06N3/08G06N3/045
Inventor 王小平曹万熊波梁世豪
Owner WUHAN FINEMEMS