Abstract
Bottled mineral water is an indispensable drink in our daily life. It’s important for us to guarantee quality of the products. In this study, a computer vision based detection system is established to detect the impurities in bottled mineral water. With the help of high speed industrial camera, the images of RGB model images could be obtained in real-time. The recorded images are transformed into HSI color format to reduce the effect of environmental brightness on the industrial assembly line. The corresponding threshold of the hue and saturation for bottled mineral water are set, according to which the image segmentation is carried out. After Gaussian filtering, the image decomposition and edge detection are applied to the images. The impurities in the bottled mineral water could be determined, marked by red dots. Based on the detection results, unqualified products will be removed from the industrial assembly line. By using this system, the accuracy and efficiency could be improved for the detection of impurities in bottled mineral water.
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