Adaptive PCB plate defect visual positioning detection and classification system

A PCB board, visual positioning technology, applied in the direction of optical testing flaws/defects, etc., can solve the problems of high risk, difficult detection, low efficiency, etc., and achieve the effect of high precision, fast speed and strong robustness

Active Publication Date: 2019-06-04
FOSHAN NANHAI GUANGDONG TECH UNIV CNC EQUIP COOP INNOVATION INST +1
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Problems solved by technology

[0004] Aiming at the deficiencies of the existing technology, the present invention provides an adaptive PCB board defect visual positioning detection and classification system, ...

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  • Adaptive PCB plate defect visual positioning detection and classification system
  • Adaptive PCB plate defect visual positioning detection and classification system

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Embodiment

[0026] Embodiment: An adaptive PCB board defect visual positioning detection and classification system.

[0027]An adaptive PCB board defect visual positioning detection and classification system, including the offline PCB board pixel classification module, the online front-end PCB board positioning module, the online middle-end defect detection module, the online end defect classification module, and the offline The pixel point classification module of the whole PCB board at the end mainly classifies the pixels of different PADs on the whole PCB board, including circular PADs, square PADs, parallel line PADs, single straight line PADs, special heterogeneous PADs, etc. The preparation of the classification module is characterized in that the PCB positioning module at the front end of the line mainly includes coarse positioning and fine positioning; the defect detection module at the middle end of the line mainly adopts the method of multi-template matching and out-of-tolerance ...

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Abstract

The invention provides an adaptive PCB plate defect visual positioning detection and classification system. A whole set of processes of PCB detection is covered. The system comprises an offline pre-processing contour point attribute classification stage, online PCB whole plate alignment, defect detection and defect classification. A template matching method is used to align a whole plate, and a speed is fast and precision is high. A contour out-of-tolerance algorithm is used to detect a defect, the precision reaches a sub-pixel level, the speed is fast, and universality is high. Attribute classification is performed on contour points so as to satisfy different tolerances generated because different types of defects match with different detection standards. In the invention, a detection speed and precision of a PCB are increased, detection efficiency is effectively improved, false detection or leak detection conditions of defects are reduced, the automatic detection of PCB surface defects is realized, manpower, material resources and financial resources are reduced, and an production automation degree is increased.

Description

technical field [0001] The invention relates to the technical field of equipment detection, in particular to an adaptive PCB defect visual positioning detection and classification system. Background technique [0002] PCB board is the basic component of all walks of life today, with a wide range of applications. Therefore, the intelligent visual inspection of PCB boards has great market prospects. [0003] The types of defects on PCB boards are complex and diverse, such as open circuits, short circuits, bridging, contamination, etc. And this kind of defective PCB board is strictly prohibited from entering the market, otherwise it will bring incalculable losses to equipment and enterprises. At present, the defects of PCB boards are mainly inspected manually, which is time-consuming, labor-intensive, inefficient and risky. This manual detection method has been difficult to meet the industry requirements. Contents of the invention [0004] Aiming at the deficiencies of th...

Claims

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Application Information

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IPC IPC(8): G01N21/88
Inventor 张美杰李贤伟张鹏中张璐王华龙胡晓强魏登明
Owner FOSHAN NANHAI GUANGDONG TECH UNIV CNC EQUIP COOP INNOVATION INST
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