产品介绍
Surface defects not only affect the aesthetics and comfort of the product, but also generally have an adverse effect on its performance. Therefore, the manufacturing company attaches great importance to the surface defects of the product. However, the traditional manual detection has low accuracy, poor real-time performance, high labor intensity, and is greatly affected by artificial experience and subjective factors. The detection method based on machine vision largely overcomes the drawbacks of appeal.
Smecta's intelligent visual appearance detection system obtains the surface image of the product through an appropriate light source and image sensor, extracts the feature information of the image using the corresponding image processing algorithm, and then locates, identifies, and classifies surface defects based on the feature information. Realize the full inspection of the appearance defects of the chemical fiber cake, the fine detection of the surface defects of the metal material, and the detection of the defects of the printed matter surface.
Full inspection of appearance defects of chemical fiber cake
For all kinds of chemical fiber cakes, it can realize the full range, including the upper and lower surfaces, 360° circumferential surface, and detection of all defects of the paper tube.
1) Detection of wool, stiffness and entanglement on the surface of the cake
2) Poor forming of cake and detection of external surface stains
3) Paper tube color and defect detection
4) Defect classification
购买热线400-051-1688
线上咨询
售后平台