Labeling condition detecting method and device based on image recognition and labeling control system based on image recognition

Abstract

The invention discloses a labeling condition detecting method, device and equipment based on image recognition and a labeling control system based on image recognition. The method comprises the following steps that fabric images sent by image collecting equipment are obtained; the fabric images are analyzed, and tag information of fabric in the surface images is obtained; the tag information is compared with preset layout drawing information to determine the labeling condition of the fabric in the surface images; and when the labeling condition is not right, labeling equipment is controlled toconduct label supplement operation on the surfaces in the surface images. The image processing technology is adopted to automatically analyze the images, of the labeled surfaces, collected by the image collecting equipment, and the labeling condition of the surfaces is determined. The labeling equipment is automatically controlled to supplementarily label a tag to the surface with wrong labeling,so that manual checking and operation are reduced, efficiency and accuracy of detecting and processing of the labeling condition of the surfaces are improved, subsequent production is more efficient,and user experience is improved.

Description

technical field [0001] The invention relates to the field of labeling machine equipment, in particular to an image recognition-based labeling situation detection method, device, equipment and an image recognition-based labeling control system. Background technique [0002] During the use of the labeling machine equipment, there are often situations where the label is not firmly attached or the label is stuck to other places, resulting in the problem of missing labels on the fabric, which has a serious impact on the subsequent sorting pieces. . [0003] In the prior art, manual inspection and operation are often required for the detection of the labeling on the fabric and the supplementary label (subsidy label) operation after the problem occurs, so that the efficiency and accuracy of the detection process are not high, causing serious damage to the subsequent production process. Not a small impact. Therefore, how to make the detection of labeling and the operation of reple...

AI Technical Summary

Problems solved by technology

[0002] During the use of the labeling machine equipment, there are often situations where the label is not firmly attached or the label is stuck to other places, resulting in the problem of missing labels on the fabric, which has a serious impact on the subsequent sorting pieces.

[0003] In the prior art, manual inspection and operation are often required for the detection of the labeling on the fabric and the supplementary label (subsidy label) operation after the problem occurs, so that the efficiency and accuracy of the detection process are not high, causing serious damage to the subsequent production process. a lot of influence

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