Container lead seal identification method and device, electronic equipment and storage medium

Abstract

The invention relates to the technical field of computer vision, and provides a container lead seal identification method and device, electronic equipment and a storage medium. The container lead seal identification method comprises the following steps: collecting a video of a container; extracting an image from the video, inputting the image into a trained first convolutional neural network for lead seal identification, and at least obtaining a local image area where a lead seal is located in the image as a target image; inputting the target image into a trained second convolutional neural network for lead seal identification, and at least obtaining the category and confidence of the lead seal; and according to the types and confidence coefficients of the lead seals corresponding to the plurality of images in the video, performing weighted calculation to obtain the type of the lead seal of the container. According to the invention, the lead seal type of the container can be accurately identified in real time according to the collected container video, the accuracy requirement and the real-time requirement of lead seal identification are met, and an accurate data basis is provided for intelligent management of the container.

Description

technical field [0001] The invention relates to the technical field of computer vision, in particular to a container lead seal identification method, device, electronic equipment and storage medium. Background technique [0002] In port operations, it is necessary to detect the lead seal of the container and enter the lead seal information. [0003] At present, it mainly relies on the staff of the port to count the lead seal information of the container, resulting in a large demand for personnel, and the efficiency and accuracy of manual statistics are low, which has caused many problems for subsequent container management, and intelligent transformation is urgently needed. [0004] However, small object detection is a difficult problem in computer vision. Due to the small size of the lead seal, if the traditional computer vision algorithm is used, there will be a lot of noise interference in the camera image of the container to detect the lead seal, and the accuracy cannot...

AI Technical Summary

Problems solved by technology

[0003] At present, it mainly relies on the staff of the port to count the lead seal information of the container, resulting in a large demand for personnel, and the efficiency and accuracy of manual statistics are low, which has caused many problems for subsequent container management, and intelligent transformation is urgently needed

[0004] However, small object detection is a difficult problem in computer vision

Due to the small size of the lead seal, if the traditional computer vision algorithm is used to detect the lead seal in the camera image of the container, there will be a lot of noise interference, and the accuracy cannot be guaranteed; Large parameter requirements, real-time performance cannot be guaranteed

[0005] Therefore, accurate and real-time detection of container lead seals cannot be realized at present

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