Method and system based on machine vision of container automatic alignment

Abstract

The invention discloses a method and a system based on machine vision of container automatic alignment. The method comprises the following steps that (1) industrial cameras are installed on a liftingappliance to shoot a container; (2) the industrial cameras are calibrated to obtain calibration positions of four box angles in corresponding images correspondingly; (3) when the lifting appliance islifted to the highest position, the real-time video acquired by the industrial cameras is processed, automatic detection of the box angles are realized by adopting a template matching algorithm, and the real-time detection coordinate positions of the four box angles are obtained; (4) according to the real-time detection coordinate positions of the four box angles and the corresponding calibrationpositions obtained by the calibration, the relative position deviation of the lifting appliance and the container is calculated; (5) the relative position deviation is connected into a lifting appliance control system to achieve the automatic alignment when the lifting appliance is lifted to the highest position; (6) and the lifting appliance is moved to the middle position and the lower positioncorrespondingly, so that automatic alignment grabbing of the container at the middle position and the lower position can be realized by executing circularly.

Description

technical field [0001] The invention relates to a method for automatic alignment of containers, in particular to a method and system for automatic alignment of containers based on machine vision. Background technique [0002] Containers are an important logistics tool for port transportation, loading and unloading. At present, when the port is carrying out container loading and unloading operations, the driver of the gantry crane uses the operating handle to manually control the spreader to align and grab the container. During the operation, the driver needs to be highly focused, and long-term work will cause driver fatigue, which will reduce the efficiency and accuracy of alignment operations. Contents of the invention [0003] The object of the present invention is to: propose a container automatic alignment method based on machine vision, which can automatically identify and locate the four corners of the container, control the movement of the spreader through the posi...

AI Technical Summary

Problems solved by technology

During the operation, the driver needs to be highly focused, and long-term work will cause driver fatigue, which will reduce the efficiency and accuracy of alignment operations

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