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Machine vision-based PCB defect inspection system is designed to meet high speed and high precision requirement in PCB manufacture industry field, which is the combination of software and hardware. This paper firstly introduced the whole system structure and the principle of vision detection, while described the relevant key technologies used during the PCB defect inspection, finally implemented one...
According to the PCB image feature in a PCB defect detection project, we studied a new image enhancement algorithm: double sigmoid transformation and also deduced the transformation arithmetic operator. Practical project experiments show that the new algorithm can effectively sharpen PCB image edges, at same time it can filter out noise in the image. Even if the original PCB image is not distinct...
Because there are some defects with the detection of PCB (Printed Circuit Board) location hole with traditional methods, the paper presents a fast and accurate positioning algorithm of location hole based on potential function, which is not interfered by the bright spots within the pad image and also be adaptable to the fuzzy pad image and the deformed pad due to poor quality of circuit board corrosion...
The paper proposed a fast method on discovering vehicle license plate position in image with very complicated background and bad shooting condition. Firstly, we deduced a new RGB threshold formula by limiting the hue change range. Secondly, we provided a fast method to detect license plate position according to the characteristics of colors of license plate. Finally, we performed a detection experiment...
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