Identification method of visible foreign matter in bottled oral liquid

Abstract

The invention discloses a method for identifying visible foreign matter in bottled oral liquid. Firstly, binary processing is performed on the preprocessed image, and the oral liquid is divided into upper and lower regions, and the imaging areas of the upper and lower regions are respectively S, perimeter C, and the minimum aspect ratio N of the circumscribed matrix set the threshold value, and judge whether there are visible foreign objects in the upper and lower regions according to the relationship between the parameters and the threshold value. This method has high accuracy and good stability, and solves the problem of relying on a single parameter. Recognition of foreign objects can easily lead to misidentification problems. Partition detection can not only effectively detect impurities such as plant fibers, residues, and hairs, but also correctly detect impurities such as glass slag that are small in size, have a certain quality, and move irregularly, which can effectively eliminate them. Interference of air bubbles; the identification method of visible foreign matter in bottled oral liquid of the present invention has low equipment cost, simple and efficient processing algorithm, rich and diverse types of detectable impurities, and can adapt to the requirements of on-line production.

Description

technical field [0001] The invention belongs to the technical field of image processing and automation, and in particular relates to a method for identifying visible foreign matter in bottled oral liquid. Background technique [0002] In recent years, the output and sales volume of oral liquid of traditional Chinese medicine in my country is growing at an astonishing rate. Various brands of oral liquid are emerging in an endless stream, and the competition among manufacturers is becoming more and more intense. However, as the types and quantities of oral liquids continue to increase, the quality requirements for oral liquids also continue to increase, because impurities such as glass chips, plant fibers, residues, hair, and white spots are inevitably mixed in during the extraction process. . In order to ensure that such oral liquids do not harm human health, strict production process requirements and industry quality inspection standards have always been imposed on their qu...

AI Technical Summary

Problems solved by technology

[0005] (1) There are many kinds of visible foreign matter particles that may exist in oral liquid bottles, such as glass chips, plant fibers, residues, hair, soil, etc. Due to the difference in physical appearance and internal structure, different identification parameters need to be used. Current algorithms usually rely on a single parameter for identification, which is prone to missed and false detections

[0006] (2) There are scales and spots on the surface of the oral liquid bottle. The background of the image after imaging is complex and the noise is diverse. It is impossible to quickly judge genuine products and defective products, which often leads to detection errors and unsatisfactory results.

[0007] (3) Impurities with a certain quality, such as glass slag, always sink to the bottom during the rotation of the oral liquid bottle, and the generated air bubbles appear in the upper part of the bottle, which is easy to cause interference in the identification, resulting in false detection and missed detection. occur

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