A method and device for locating the lower collector of the quayside crane

Abstract

The application aims to provide a positioning method of a container truck under a shore bridge and equipment. A shot image of the container truck under the shore bridge is acquired through a camera device mounted on a crossbeam of the shore bridge, and all pixel points in the shot image and positions thereof are determined; clustering processing is carried out on the shot image on the basis of atleast one preset initial clustering center point, all the pixel points and the positions thereof to obtain a clustering pixel region corresponding to each initial clustering center point; image binarization, image erosion and image expansion are sequentially carried out on the clustering pixel region, which corresponds to each initial clustering center point, to obtain a processed shot image; andat least one first communication region in the processed shot image is calculated, and screening and filtering are carried out on the first communication region to obtain a truck-head communication region of the container truck and a position thereof. Recognition and positioning can be accurately carried out in time on the container truck through carrying out recognition and positioning on the shot image, thus loading and unloading efficiency of a container is greatly improved, and then massive manpower costs are saved.

Description

technical field [0001] The present application relates to the technical field of computer vision, and in particular to a method and equipment for locating trucks under quayside cranes. Background technique [0002] In traditional artificial port terminals, the positioning and guidance of container trucks in the port area (hereinafter referred to as trucks) in the quay crane mainly rely on manual command and guidance and marking. This mode is carried out on site by manual "station tracking". This mode has great potential safety hazards in harsh environments. In addition to instructing the location of the collection card, the on-site workers also need to record and confirm the container number, container number, etc. Physical inspection, lock button removal and other work are labor-intensive; moreover, this mode relies more on the experience of on-site workers and truck drivers, and the work efficiency needs to be improved. However, under the trend of automation and intellige...

AI Technical Summary

Problems solved by technology

[0005] One purpose of this application is to provide a method and equipment for positioning trucks under the quayside crane to solve the problems of positioning accuracy, low positioning efficiency and high cost caused by the positioning of existing trucks

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