Error checking method and device for barcode recognition results

Abstract

The embodiment of the present invention provides a method and device for checking errors of barcode recognition results, wherein the method includes: detecting the first position area where the barcode to be recognized is located to obtain the barcode detection result; Perform barcode recognition on the barcode in the barcode to obtain the barcode recognition result; when it is necessary to score the barcode recognition result obtained by the barcode to be recognized, the barcode recognition result is scored according to the first preset scoring method to obtain the first scoring result. A preset scoring method includes: at least one of multi-line verification value scoring and decoding verification scoring; according to the preset calculation rules, the first scoring result is calculated, and the calculated first scoring result is used to determine the obtained The accuracy of the barcode recognition result; find out the barcode whose accuracy does not meet the preset accuracy conditions. In order to automatically find the package corresponding to the inaccurate barcode, reduce the difficulty of traceability and improve the efficiency of traceability.

Description

technical field [0001] The invention relates to the technical field of intelligent detection, in particular to an error checking method and device for barcode recognition results. Background technique [0002] With the gradual emergence of barcodes in the logistics industry, a barcode recognition method for recognizing barcodes emerged as the times require. The current barcode recognition method uses machine vision to gradually replace the traditional manual scanning code recognition method to realize barcode recognition, thereby improving the level of industrial automation and improving the efficiency of barcode recognition. [0003] In order to obtain the specific content of the barcode, first detect the barcode image on an object to be recognized, detect the effective area of ​​the barcode on the barcode image, separate the barcode and the background area, obtain the barcode clumps in the effective area, and then perform the barcode clump detection Recognition, the main ...

AI Technical Summary

Problems solved by technology

[0007] Also, for example, due to the unrecognizable situation in the code-reading camera 61 or the barcode 20 of the parcel itself is unclear, the code-reading camera 61 cannot recognize the barcode 20 of the third parcel 23, and the code-reading camera 61 will not recognize the third parcel. The recognition result of 23 is fed back to the controller 71, and the controller 71 will send a sorting signal to the first parcel sorter 81 and the second parcel sorter 82, and then the third parcel 23 will be sent to the wrong place along with the basic conveyor belt 1. The parcel sorting conveyor belt 33, such that the wrong parcel sorting conveyor belt 33 is a parcel that has not been identified by the code reading camera 61

[0008] To sum up, due to the recognition error of the code reading camera 61, the unrecognizable situation of the code reading camera 61, or the unclear barcode 20 of the package itself, it is inevitable that the barcode is not recognized or the recognition is wrong. That is, the recognition result of the barcode obtained by the barcode is inconsistent with the real result of the barcode, causing the package to enter the conveyor belt that it does not belong to or enter the wrong parcel sorting conveyor belt

Once the above situation occurs, especially when there are many packages, manually screening and checking the packages in the above situation will involve a large amount of tasks, great difficulty in tracing, and low traceability efficiency

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