Label information detection method and device

Abstract

The present invention relates to a label information detection method and device. The method includes: obtaining the original data source corresponding to the label to be detected; scanning and taking pictures of the label to obtain the actual data of the corresponding label; comparing the actual data with the original data source; The result of the comparison judges whether the actual data of the corresponding label is abnormal; if so, the abnormal type is obtained according to the abnormal analysis based on the actual data, and the corresponding abnormal information is displayed according to the abnormal type, and the detection is stopped at the same time. The tag information detection method and device of the present invention have high accuracy and high speed for detecting tag anomalies.

Description

technical field [0001] The invention relates to the technical fields of label automation and informatization, in particular to a label information detection method and a label information detection device. Background technique [0002] With the continuous popularization of informatization, labels such as one-dimensional barcodes, two-dimensional barcodes and anti-counterfeiting traceability codes have been widely used on various types of products to automatically identify product categories and other information, which is convenient for production and sales. management. [0003] In the process of label printing, it is usually necessary to detect it, and to pick out abnormal labels such as error codes, missing codes or repeated codes. Traditional detection methods and equipment can only be detected by the operator's eyes, but the speed of manual inspection It is slower, which reduces the speed of detection. In addition, manual detection is prone to eye fatigue, and it is dif...

AI Technical Summary

Problems solved by technology

[0003] During the printing process of labels, it is usually necessary to detect them to pick out abnormal labels such as error codes, missing codes or repeated codes. Traditional detection methods and equipment can only be detected by the operator's eyes, but the speed of manual inspection Slower, which reduces the speed of detection. In addition, manual detection is prone to eye fatigue, and it is difficult to query abnormal labels, resulting in the need for rework

[0004] Moreover, in the existing technology, when an abnormal label is found, because the human reaction speed is much slower than the equipment running speed, usually when the abnormal label appears manually and the equipment is stopped manually, the label has already been taken away by the equipment, so Operators must slowly query from a certain number of labels, so it is difficult to accurately find out the location of abnormal labels, and in the process of querying, it is necessary to compare labels one by one, which also reduces the cost of abnormal detection. Speed ​​and efficiency, but also increased the intensity of manual labor

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