An image recognition method of a beam splitter port line and a two-dimensional code label thereof

Abstract

The invention discloses an image recognition method of a beam splitter port line and a two-dimensional code label thereof, comprising three steps of: image acquisition, detection of the two-dimensional code label and positioning and recognition of the two-dimensional code. The invention intelligently identifies the two-dimensional code of the label on the image splitter and the port line and corresponds the code with the port, thereby performing effective management and intelligent processing of resources, and the manual identification record needs to scan and record each two-dimensional codeand correspond to the corresponding port, so that the problem of the tedious work of manual input is solved and only one picture can be taken by the mobile phone; through the depth learning algorithm,the problem that it is difficult to locate multiple two-dimensional codes in complex background is solved. The image is enhanced to solve the problem that the mobile phone cannot scan and recognize the two-dimensional code. The method solves the technical bottleneck of recognizing multiple two-dimensional codes in one picture.

Description

Technical field: [0001] The invention relates to the technical field of optical splitters, in particular to an image recognition method for an optical splitter port line and a two-dimensional code label thereof. Background technique: [0002] Intelligently identify the two-dimensional codes on the image splitter and the label on the port line, and correspond to the ports, effectively manage resources and intelligently process them, while manual identification records need to scan and record each two-dimensional code and correspond to the corresponding At present, the main problems are as follows: the port resources of the optical splitter are relatively scarce, and the inability to correctly process the port resources has brought great economic benefits. Manual scanning of QR codes one by one is easy to get tired and error-prone, and manual input is cumbersome. Work, there is the problem that multiple QR codes are difficult to locate in complex backgrounds, and the mobile ph...

AI Technical Summary

Problems solved by technology

[0002] Intelligently identify the two-dimensional codes on the image splitter and the label on the port line, and correspond to the ports, effectively manage resources and intelligently process them, while manual identification records need to scan and record each two-dimensional code and correspond to the corresponding At present, the main problems are as follows: the port resources of the optical splitter are relatively scarce, and the inability to correctly process the port resources has brought great economic benefits. Manual scanning of QR codes one by one is easy to get tired and error-prone, and manual input is cumbersome. Work, there is the problem that multiple QR codes are difficult to locate in complex backgrounds, and the mobile phone cannot scan and recognize the QR codes, and cannot solve the technical bottleneck of identifying multiple QR codes with one picture. Combining the above problems, ordinary operations The business resource management platform lacks the ability of intelligent processing, and cannot effectively manage and intelligently identify resources. In order to solve the above problems, a two-dimensional code identification method based on deep learning for optical splitters and their port line labels is proposed.

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