Truck anti-lifting detection method and system

By monitoring images to identify container and truck area images and combining them with deep learning models to predict slope changes, the alarm delay problem in anti-lifting detection of trucks has been solved, achieving real-time and accurate detection and improving safety.

CN114862769BActive Publication Date: 2026-07-07SHANGHAI AWARE INFORMATION TECH
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
SHANGHAI AWARE INFORMATION TECH
Filing Date
2022-04-15
Publication Date
2026-07-07

AI Technical Summary

Technical Problem

In existing technologies, the anti-lifting detection methods for container trucks have alarm delays, which are difficult to meet safety requirements, especially the vibration problem when adapting to different trailer heights and yard crane movements.

Method used

By monitoring images to identify the areas of containers and trucks, it can determine whether there is adhesion. It uses a deep learning model to predict the slope change trend and combines the spreader height threshold to determine whether the truck has been lifted.

Benefits of technology

It enables real-time or advance detection of the adhesion between trucks and containers, reduces computing power requirements, improves the real-time performance and accuracy of detection, avoids the risk of trucks being lifted, and provides technical support for safe operation of yard cranes.

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Abstract

The application provides a container truck anti-lifting detection method and system, and belongs to the technical field of information; wherein the method comprises the following steps: determining a first area image of a container and a second area image of a container truck according to a monitoring image; judging whether there is a sticking situation according to the first area image and the second area image, and if yes, determining that the container truck is lifted. Compared with the laser detection method in the prior art, the scheme of the application can detect the sticking situation of the container truck and the container in real time or even in advance, so that the detection and recognition result can be output earlier, the risk of lifting the container truck can be effectively avoided, and strong technical support is provided for the safe operation of a yard crane.
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