Container recognition system and container recognition method

Abstract

The invention relates to a container recognition system and a container recognition method, and belongs to the field of computer image recognition algorithms. The system comprises a data acquisition end and a control end. The data acquisition end is arranged on a ramp through which a vehicle passes. The data acquisition end is used for acquiring container picture information on a container vehiclepassing through the ramp. The data acquisition end and the control end perform data transmission. And the control end processes the container picture information acquired by the data acquisition endto obtain container information. By adopting the container recognition system, a large amount of manual labor can be saved, the labor cost of a logistics port is saved, the recording speed is increased, and the working efficiency is stably improved, so that the performance of an enterprise is remarkably improved.

Description

technical field [0001] The invention relates to a container identification system and a container identification method, belonging to the field of computer image identification algorithms. Background technique [0002] The container number recognition system in the natural scene is mainly composed of three modules, namely the preprocessing module, the identification module and the postprocessing module. In the preprocessing stage, the main work is to binarize the input image and determine and cut the character area. The threshold extraction methods to choose from are: 1) Otsu; 2) maximum entropy; 3) iterative method; 4 ) adaptive threshold; 5) basic global threshold method. In the recognition module, it mainly recognizes the characters cut in the previous stage. The better methods are: 1) k-neighbor algorithm (kNN); 2) convolutional neural network (CNN). After the recognition is completed, the obtained results may not be completely correct, or due to the influence of noi...

AI Technical Summary

Problems solved by technology

[0006] At present, most ports still use the method of manual registration to record the container number, not only need to spend extra cost to recruit the personnel who register the container number, but also need to spend extra manpower and financial resources in the later input system

In addition, there may be problems such as damage and rust in the container. It may not be possible to obtain complete results through manual observation of one side of the container, and the registration personnel must go to other sides for observation, which will reduce the efficiency of port management.

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