“Printed circuit board (PCB) is an information carrier that integrates various Electronic components. It has a wide range of applications in the electronic field, and its quality directly affects the performance of products. In the PCB manufacturing process, surface mount technology is generally used for component mounting on the PCB. With the development of electronic technology and the development of electronic manufacturing, electronic products tend to be lighter, smaller and thinner.
“
Printed circuit board (PCB) is an information carrier that integrates various electronic components. It has a wide range of applications in the electronic field, and its quality directly affects the performance of products. In the PCB manufacturing process, surface mount technology is generally used for component mounting on the PCB. With the development of electronic technology and the development of electronic manufacturing, electronic products tend to be lighter, smaller and thinner.
As an important part of modern electronic equipment, PCB boards are required to be further improved due to the small size and high installation density of SMD components. In order to ensure the performance of electronic products, PCB defect detection technology has become a very critical technology in the electronics industry.
Circuit board defect detection consists of two parts: solder joint defect detection and component detection. The traditional detection method adopts manual detection method, which is easy to miss detection, slow detection speed, long detection time and high cost, and has gradually been unable to meet production needs. Therefore, it is of great practical significance to design an efficient and accurate machine vision circuit board inspection system equipped with industrial cameras to replace human eyes.
Machine vision detection technology is based on image processing algorithms and is realized through digital image processing and pattern recognition. Compared with traditional manual detection technology, it improves the efficiency and accuracy of defect detection.
Machine vision systems generally use CCD or CMOS industrial cameras to capture and detect images and convert them into digital signals, and then process the image digital signals through computer software and hardware technology to obtain the required feature values of various target images, and thereby realize parts. Various functions such as identification or defect detection.
The Links: EP1C3T144I7N HSD150SX84-A
