PCB element detection system and method based on machine vision
A PCB board and machine vision technology, applied in the field of PCB board component detection based on machine vision, can solve the problems of large error and low manual detection efficiency, and achieve the effect of cost saving
Active Publication Date: 2020-06-16
QINGDAO BINHAI UNIV
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[0004] The invention proposes a PCB board component detection system and detection method based on machine vision, which solves the problems of low manual detection efficiency and large errors in the prior art
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[0054]The following description and the accompanying drawings sufficiently illustrate specific embodiments herein to enable those skilled in the art to practice them. Portions and features of some embodiments may be included in or substituted for those of other embodiments. The scope of the embodiments herein includes the full scope of the claims, and all available equivalents of the claims. Herein, the terms "first", "second", etc. are only used to distinguish one element from another element without requiring or implying any actual relationship or order between these elements. In fact the first element can also be called the second element and vice versa.
[0055] 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. Based o...
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The invention provides a PCB element detection system based on machine vision. The PCB element detection system comprises a vision system, an image processing and communication system and a PLC control system, wherein the visual system comprises an industrial camera and a code reader, the code reader reads bar code information on the surface of a PCB and sends out a trigger signal, and the industrial camera captures an image; the image processing and communication system comprises a visual detection module, a logic analysis module and an industrial personal computer, the visual detection module is used for analyzing the image and transmitting a detection result to the logic analysis module, and the industrial personal computer is used for real-time monitoring; and the PLC control system comprises a PLC and a sound-light alarm module, the logic analysis module sends a corresponding I / O signal to the PLC after recording, the PLC executes a corresponding action according to the received I / O signal, and the sound-light alarm module is used for giving an alarm. The invention further provides a detection method based on the PCB element detection system. According to the PCB element detection system and the detection method, human eye detection is replaced with machine vision detection, defective products on a production line are detected out, and labor investment is greatly reduced while the defective products are accurately and rapidly recognized.
Description
technical field [0001] The invention relates to the technical field of machine vision recognition, in particular to a machine vision-based PCB component detection system, and also to a machine vision-based PCB component detection method. Background technique [0002] In the process of modernization, electronic products play a very important role. At the same time, due to the rapid update of electronic products, the speed of PCB board production is also increasing, the corresponding production capacity is continuously improved, the integration of PCB boards is more precise, and the process is constantly improving. improve. The difficulty of PCB board inspection lies in: First, the composition of the PCB board surface is complex, there are many components, the size of the components is small, the position of the plug-in is relatively concentrated, all types of plug-ins are distributed on the board, and there are a large number of printing on the board except the plug-in Chara...
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IPC IPC(8): G01N21/956G01N21/88
CPCG01N21/956G01N21/8851G01N2021/95638G01N2021/8887Y02P90/02
Inventor 薛彬茌文清卢奇锴矫爽本孟庆森周凤敏翟明戈
Owner QINGDAO BINHAI UNIV