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Surface printing defects inspection based on machine vision can effectively improve producing speed and quality. However, captured image rotate variance led to high false detection rate and low speed. Considering limited rotate variance, multi-templates which are rotated from normal template were set up before inspection. The mismatching object image was matched again with the rotated templates and...
In machine vision inspection with area array camera, inspecting windows placement needs to be optimized. It aims to minimize the number of windows while covering whole inspected objects. A knowledge inductive search approach is proposed in this work to randomly search optimal window positions with partly prior knowledge direction and partly posteriori knowledge induction. Experimental results show...
Defects inspection for solder paste deposit in PCB SMT assembly can depress final fault rate and save rework cost. The solder paste deposit inspection needs both 2D analysis and 3D volume measurement. Conventional methods suffered slow speed and low reliability. This paper proposed inspecting by grating projection phase shifting profilometry 3D scale fusion with 2D image features, which help phase...
Imbalanced distributions and mis-classified costs of two classes made conventional classification methods suffered. This paper proposed a new fast parallel classification method for imbalanced classes. Considering imbalanced distributions, the approach adopted a fast simple classifier with less features input working parallel with a complicated one. Most samples would be correctly recognized by the...
In automatic machine vision inspection for PCB SMT assembly, solder joints inspection is a meaningful but difficult work suffered from variety of complicated images and imbalance of samples. This paper proposed to use ANN ensembles for inspecting classifier, and every simple ANN for ensembles was input with a different feature selected from the image and was trained by genetic algorithm whose fitness...
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