Container positioning identification method, device and equipment and storage medium

Abstract

The invention discloses a container positioning identification method, device and equipment and a storage medium, and the method comprises the steps: carrying out the preprocessing of a to-be-detected image, and obtaining a processed image; container positioning is carried out on the processed image through a trained container positioning model to obtain container positioning information, and the container positioning information comprises container position information, a container type, container number position information and a container number type; according to the container positioning information, character positioning identification is carried out on the processed image through a trained character identification model, and a character identification result is obtained; and detecting and checking the character recognition result, and outputting to obtain the container number. According to the invention, the container number can be rapidly identified through the container positioning model and the character identification model, the identification accuracy is effectively improved, the operation links of a port are reduced, the automation and intelligence of port container management are promoted, and the working efficiency is greatly improved.

Description

technical field [0001] The present invention relates to the technical field of container identification, in particular to a container location identification method, device, equipment and storage medium. Background technique [0002] At present, the number of transport container vehicles passing through the gate channel of the port is as high as thousands of days. The traditional method of registering the passing containers is manual registration. However, this method of human-eye recognition of the container number and manual registration has low efficiency and error rate. advanced questions. [0003] For the existing container positioning and container number recognition tasks, there are mainly algorithms based on template matching and algorithms based on neural networks. It mainly divides the process of container number identification into three steps: the first step is to locate the area of ​​the container number; the second step is to segment the individual characters ...

AI Technical Summary

Problems solved by technology

[0005] The main purpose of the present invention is to provide a container location recognition method, device, equipment and storage medium, using the latest achievements in the detection of natural scene characters in recent years, the arrangement direction, inclination, illumination and The change of color has good robustness, which solves the above-mentioned technical problem of low recognition rate

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