Crane intelligent lifting system based on limb motion recognition

Abstract

The present invention relates to a crane intelligent lifting system based on limb motion recognition. Based on a human-computer interaction system of six control units, the crane intelligent lifting system is characterized in that: 1) a large zoom network camera continuously collects multiple sets of standard limb motions of the command personnel, 2) a large zoom network camera collects limb motions of the command personnel in real time through the cloud platform on the crane cockpit, and then enters a contour extraction unit and a feature extraction unit to obtain a gesture Hu image moment feature vector of the command personnel; and 3) query is performed through a sample classifier by using the SVM machine learning algorithm, and the most matched limb motion sample class is returned, sothat the corresponding crane command signal is transmitted to the crane controller to complete the crane lifting work. According to the system disclosed by the present invention, the shortcomings of the above-mentioned existing limb motion recognition technology is overcome, that the signal human judgment and command mode is not friendly enough is overcome, and referring to the national standard GB5082-85 of the lifting command signal, the command personnel can be tracked in real time, and the system has the advantages of a low cost, strong robustness and high real-time performance.

Description

technical field [0001] The invention relates to an intelligent crane hoisting system based on body movement recognition, which belongs to the technical field of pattern recognition and human-computer interaction. technical background [0002] The traditional crane hoisting system relies on the commander's command gestures for human control. With the extensive development of human-computer interaction and image processing, the intelligent hoisting system that combines machinery and computer control has a very good application for improving hoisting efficiency and operator comfort. value. [0003] At present, the control methods using body movements have the following deficiencies: [0004] Chinese patent CN105353667A discloses a system and method for controlling a vehicle through body movements. The method pre-stores one or several body movement information of the human body in the form of electrical signals into a data storage module, and then uses sensor equipment to colle...

AI Technical Summary

Problems solved by technology

The disadvantage of this method requires the use of expensive depth camera equipment

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