PCB character area defect detection method
A text area and defect detection technology, applied in optical testing flaws/defects, measuring devices, character and pattern recognition, etc., can solve problems such as inability to distinguish text content differences, improve robustness and real-time performance, improve Processing speed and the effect of preventing misjudgment
Pending Publication Date: 2021-02-26
深圳虹星智能有限公司
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Problems solved by technology
Whether it is a traditional method or a deep learning method, these two methods have the following problems for the text area: it is impossible to distinguish between real defects and text content differences
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[0028] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. The following detailed description of the embodiments of the invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely represents selected embodiments of the invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without making creative efforts belong to the protection scope of the present invention.
[0029] The invention can accurately detect the defect in the text area of the PCB, eliminate the misjudgment when the text is inconsistent, and can be widely used in the defect detection system related to the PCB board in the industrial vision....
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The invention discloses a PCB character area defect detection method. The method comprises the following steps: S1, acquiring a standard image subarea image, and splitting a standard image into smallimages convenient to process; S2, screening standard subarea images containing characters by using a trained character detection model; S3, acquiring a test subarea image corresponding to the standardsubarea image by using a rapid positioning method, and labeling data to construct a training data set; S4, building a model, and training the model by using the training data set; S5, sending the standard text area image and the test text area image to the trained network to obtain a prediction result; S6, judging whether the sub-region image contains defects or not according to a network prediction result. By utilizing the method and the device, the defects of the PCB character area can be accurately detected, and the misjudgment when the characters are inconsistent is eliminated. The methodcan be widely applied to a defect detection system related to the PCB in industrial vision.
Description
technical field [0001] The invention relates to the technical fields of digital image processing, pattern recognition, statistical learning and the like, and in particular to a defect detection method of a PCB character area. Background technique [0002] PCB (Printed Circuit Board), the Chinese name is printed circuit board, also known as printed circuit board, is an important electronic component, a support for electronic components, and a carrier for electrical connections of electronic components. Whether there is a defect in the PCB board itself will directly affect the performance of the equipment using the PCB circuit board, so it is particularly necessary for the defect detection of the PCB circuit board. There are many types of PCB defects, including more than a dozen defects such as exposed copper, board contamination, line scratches, thin solder mask, offset solder mask, and blurred text. Different defects have different shapes, sizes, colors, and positions, resul...
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IPC IPC(8): G06T7/00G06T7/11G06T7/13G06K9/32G06K9/34G06K9/62G06N3/04G01N21/88G01N21/956
CPCG06T7/0004G06T7/11G06T7/13G01N21/956G01N21/8851G06T2207/20081G06T2207/20104G06T2207/20132G06T2207/30141G01N2021/95638G01N2021/8887G06V20/62G06V10/267G06N3/045G06F18/241G06F18/214
Inventor 李海青陈丽侯广琦
Owner 深圳虹星智能有限公司