A kind of optical splitter and its port line label two-dimensional code identification method

Abstract

The invention discloses an image recognition method for an optical splitter port line and a two-dimensional code label thereof, comprising three steps of A, image collection, two-dimensional code label detection, and two-dimensional code positioning and identification. The present invention intelligently recognizes the two-dimensional codes on the label on the image splitter and the port line, and corresponds to the port, effectively manages resources and intelligently processes them, while manual identification records need to scan and record each two-dimensional code and correspond to the two-dimensional code. To the corresponding port, it solves the tedious work of manual entry, and only needs to take a photo with the mobile phone; through the algorithm of deep learning, it solves the problem that multiple QR codes are difficult to locate under the complex background; the image is enhanced, It solves the problem that mobile phones cannot scan and recognize QR codes; solves the technical bottleneck of recognizing multiple QR codes with one picture.

Description

Technical field: [0001] The invention relates to the technical field of optical splitters, in particular to an optical splitter and a method for identifying two-dimensional codes on labels of port lines 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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