Intelligent defect detection system for paper bottle production and application equipment thereof

Abstract

The invention provides a detection system comprising a double-station detection module, a product induction module, a comparative analysis module and a synchronous blow-off module. Application equipment comprises a box body, a detection station, a light source and a photoelectric sensor. The detection station is arranged on the box body; the light source is arranged on the detection station; and the photoelectric sensor is arranged at one side of a product conveying rail. According to the intelligent defect detection system for paper bottle production and application equipment thereof, a double-station camera is used for collecting photos of three to-be-detected areas of a bottle cap; an intelligent camera is used for rapidly shooting product pictures and the pictures are compared with a standard sample for analysis, so that three kinds of defects of products are rapidly and effectively detected. Besides, the system and the equipment can be changed in real time according to field products and online adjustment is carried out, so that the practicability and the production flexibility of the detection equipment are ensured.

Description

technical field [0001] The invention relates to an intelligent defect detection system for paper bottle production and its application equipment. Background technique [0002] In the existing dairy and beverage packaging production lines, there is no product that can automatically detect the cover of the packaging carton; the current practice of the manufacturer is to identify the defects of the cover through manual sampling or online visual inspection, and to detect the defects through manual sampling. When defective products are found, the detection method for defective products is unreliable, and there is a great risk of being missed, and even if defective products are lucky enough to be sampled, the possible batch loss of finished products has already been formed. In addition, manual sampling is time-consuming It is laborious and a waste of production cost; while online visual inspection is too fast due to the high speed of the production line, reaching 10 packs per seco...

AI Technical Summary

Problems solved by technology

[0002] In the existing dairy and beverage packaging production lines, there is no product that can automatically detect the cover of the packaging carton; the current practice of the manufacturer is to identify the defects of the cover through manual sampling or online visual inspection, and to detect the defects through manual sampling. When defective products are found, the detection method for defective products is unreliable, and there is a great risk of being missed, and even if defective products are lucky enough to be sampled, the possible batch loss of finished products has already been formed. In addition, manual sampling is time-consuming It is laborious and a waste of production cost; while online visual inspection is too fast due to the high speed of the production line, reaching 10 packs per second, making visual identification very difficult. Only relatively obvious defective products can be detected. In addition, due to the fatigue of the naked eye , the time of manual detection cannot be extended for a long time, so missed detection is inevitable

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