Container truck anti-lifting device and container truck anti-lifting method based on machine vision

Abstract

Disclosed are a container truck anti-lifting device and a container truck anti-lifting method based on machine vision. At least four data collection modules are arranged on a bracket on the bottom ofa tire crane. The arrangement positions of the data collection modules can ensure that all contours of a container and a container truck are within collection ranges of the data collection modules. The data collection modules are used for collecting image data of the container and the container truck. A signal processing module is arranged in an electrical room of the tire crane, connected to thedata collection modules, and used for processing the image data collected by the data collection modules and judging whether the container truck is lifted or not according to position changes of the container and the container truck. An alarm module is arranged in a cab of the tire crane, connected to the signal processing module, and used for warning a driver when the container truck is lifted and reminding the driver to stop lifting. The container truck anti-lifting device and the container truck anti-lifting method based on machine vision utilize the machine vision technology to intelligently identify whether the container and the container truck are completely separated and alarm in time to realize intelligent, unmanned and dynamic monitoring and management.

Description

technical field [0001] The invention relates to the technical field of container hoisting safety, in particular to a machine vision-based collection truck anti-hoisting device and a collection truck anti-hoisting method. Background technique [0002] Most of the container terminals, whether they are traditional terminals or intelligent terminals, have certain safety hazards when the trucks are not unlocked and hoisted during operation. At present, traditional terminals rely more on on-site inspections by on-site personnel, relying on manual observation and operating equipment driver experience to make judgments, and need to be equipped with special inspection personnel in the operation channel, which increases labor costs; at this stage, automated terminals are installed in the form of remote monitoring cameras. , The container lifting screen is connected to the driver's cab, and the driver can understand the lifting situation of the truck by constantly observing the real-ti...

AI Technical Summary

Problems solved by technology

[0002] Most of the container terminals, whether they are traditional terminals or intelligent terminals, have certain safety hazards in the operation process when the truck locks are not unlocked and are hoisted.

At present, traditional terminals rely more on on-site inspections by on-site personnel, relying on manual observation and operating equipment driver experience to make judgments, and need to be equipped with special inspection personnel in the operation channel, which increases labor costs; at this stage, automated terminals are installed in the form of remote monitoring cameras. , the container lifting s

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