PCB apparent defect automatic detection system and method based on image

Abstract

The invention provides a PCB apparent defect automatic detection system and method based on an image and aims at solving the problems that detection efficiency is low and misjudgment rate is high. The method comprises the following steps: firstly transmitting a to-be-detected PCB to a specified position by virtue of a motion control unit; acquiring an image of the to-be-detected PCB by utilizing image acquisition equipment such as an image acquisition card and an industrial camera; then sequentially carrying out a series of operation such as image preprocessing, PCB defect detection and PCB defect identification and classification on the acquired image, so that PCB defect automatic detection is completed; and finally realizing real-time automatic sorting of an unqualified PCB and timely reporting a defect position and a defect analysis result to an operator. The system and method which are provided by the invention can automatically detect the PCB defect and identify the defect type to a great extent, and false detection rate is reduced, so that enterprise cost is reduced, and the system and method which are provided by the invention have stronger practicability.

Description

technical field [0001] The invention relates to the technical field of defect detection, in particular to the automatic detection of PCB apparent defects, including detection and identification of missing welding and wrong welding of components in a PCB board with components. Background technique [0002] As one of the key development directions of electronic information industry and intelligent manufacturing industry, PCB's reliability has important research value. At present, the quality inspection for PCB mainly includes traditional manual visual inspection and electronic inspection, among which electronic inspection is divided into needle bed inspection and flying probe inspection. Manual visual inspection mainly has shortcomings such as low efficiency and high false detection rate. Electronic detection is a contact detection. The detection sensor is in direct contact with the detected object, and there is a risk of failure due to physical contact, and the detection effi...

AI Technical Summary

Problems solved by technology

Manual visual inspection mainly has shortcomings such as low efficiency and high false detection rate. Electronic detection is a contact detection. The detection sensor is in direct contact with the detected object, and there is a risk of failure due to physical contact, and the detection efficiency of the increasingly dense PCB board with lower precision

At present, the automatic detection technology of PCB apparent defects is relatively mature in foreign countries, and there are already equipments with relatively good detection effects, but the price is expensive; there are also some researches on this in China, and defect detection methods such as defect detection methods based on morphology, Defect detection methods based on image fusion, etc., but most of them still have accuracy problems, so it is very important to speed up the pace of domestic research

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