An error checking method and device for a barcode recognition result

Abstract

The embodiment of the invention provides an error checking method and device of a barcode recognition result. The method comprises the following steps of detecting a first position area where a barcode is to be identified, and obtaining a barcode detection result; recognizing the barcode in the second position area in the barcode detection result to obtain a barcode recognition result; when it isnecessary to score the barcode recognition result obtained by identifying the barcode, scoring the barcode recognition result according to a first preset scoring method to obtain a first scoring result, wherein the first preset scoring method comprises the following steps of scoring a plurality of lines of check values, and decoding at least one of the check scores; calculating a first scoring result according to a preset operation rule, and utilizing the calculated first scoring result to determine the accuracy of the obtained barcode recognition result; finding out the bar code whose accuracy does not meet the preset accuracy conditions, so as to automatically find the inaccurate barcode corresponding to the package, reduce the difficulty of tracing and improve the traceability efficiency.

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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