Machine vision tracking based container truck anti-hoisting method and system

Abstract

The invention discloses a machine vision tracking based container truck anti-hoisting system. The system comprises a tyre crane, cameras, a container truck, containers, video alarms and central control room control equipment. The cameras are mounted on a bottom support of the tyre crane, the height of the cameras is flushed with a truck frame of the container truck, and the view field of the cameras is perpendicular to the running direction of the container truck. The cameras input video images obtained through tracking to the video alarms, the video alarms process the obtained video images through a fast fourier translation change online learning based tracking algorithm, and when it is judged that the container truck is hoisted, an alarm signal is transmitted to the central control room control equipment. The system can automatically detect whether the containers are separated from the container truck or not, and therefore the situation that the container truck is hoisted by mistake due to manual errors is avoided, and safe precontrol on container area storage yard operation is achieved.

Description

technical field [0001] The invention belongs to the technical field of intelligent anti-lifting of container trucks, and in particular relates to a method for autonomous tracking and anti-lifting warning of container trucks based on machine vision tracking. Background technique [0002] With the rapid development of global container transportation, the operations of modern container terminals and yards are becoming more and more busy, and the working environment is becoming more and more complex. At present, gantry cranes or tire cranes are usually used to lift containers. Due to the particularity of container loading and unloading operations, events often occur during the loading and unloading process that the container trucks are lifted by the containers because the lock pins of the container trucks are not fully opened. When a tire crane is used to carry out container hoisting operations on the yard, it can generally be divided into the following three working conditions:...

AI Technical Summary

Problems solved by technology

At present, the container terminal yard has a large area, and there are many types of operating vehicles and complex vehicle conditions. For large-scale operating sites, the deployment and management of mechanical equipment is very important. Relying on people is easy to cause fatigue and negligence, and relying on traditional wireless walkie-talkies to issue operations There are many inconveniences in ordering and transmitting production information, which greatly affects the operation efficiency

Obviously, the current "civil defense" measures have been unable to effectively avoid the occurrence of the above-mentioned accidents

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