An intelligent detection method and system for a label

Abstract

The invention discloses an intelligent label detection method and system. The intelligent label detection method comprises the steps of shooting to-be-detected product images by using an image collection device arranged on a work station, selecting the product images containing to-be-detected labels by combining with fixed feature points on the product images and determining pixel coordinate ranges of the to-be-detected labels on the basis of the fixed feature points; calling qualified label information and comparing the qualified label information with to-be-detected label information; detecting label content, label types, label positions, label shapes and label image quality information by an information processing device according to the comparison result; and feeding back the detectionresult to a detector by an information feedback device in a manner of sound transmission or a manner of image display or a manner of combining sound transmission with image display. The method is simple in operation, is capable of replacing a traditional label detection method of employing human eyes, is capable of improving the position consistency and qualification rate of the labels of products and is capable of improving the detection speed, thereby improving the appearance quality and aesthetic value of the products.

Description

technical field [0001] The invention relates to a product label detection method in the manufacturing industry, in particular to a label intelligent detection method and system based on image pixel comparison. Background technique [0002] Product labels are often diverse, generally including QR codes, bar codes, corporate LOGOs, energy efficiency labels, conformity labels, product labels, etc. However, it is difficult for companies producing products to maintain the consistency of the labeling position of each product, and it is impossible to guarantee that there will be wrinkles or more serious damage and missing corners during the pasting process. These quality problems are generally caused by manual labeling on the production line and inspection of labels with naked eyes. At the same time, due to the fact that workers use naked eyes to detect, sometimes it will cause quality problems that cannot be found due to similar labeling errors. [0003] In addition, the manual ...

AI Technical Summary

Problems solved by technology

At the same time, due to the fact that workers use naked eyes to detect, sometimes it will cause quality problems that cannot be found due to similar labeling errors

[0003] In addition, manual detection of product labels needs to be close to the labeling position of the product to confirm the content and position of the label, which reduces the detection speed of label detection and cannot meet the needs of modern enterprise product production speed

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