Gymnasium intelligent management decision-making system based on visual perception
A technology of intelligent management and visual perception, applied in the direction of physical therapy or behavior, instrument, character and pattern recognition, etc., can solve the problems of high cost, misjudgment, artificial judgment with subjectivity, etc., to achieve strong versatility and judgment speed. quick effect
Pending Publication Date: 2021-01-15
ZHENGZHOU NORMAL UNIV
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Problems solved by technology
[0003] Existing detection of occupying fitness equipment mainly relies on the staff to patrol in the gym. This method is costly, and manual judgment is subjective, and misjudgment may occur
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Embodiment 1
[0029] The main purpose of the present invention is to realize the detection of occupying fitness equipment behavior and customer density, and carry out the management of the gymnasium based on this.
[0030] In order to realize the contents of the present invention, the present invention designs a visual perception-based intelligent management decision-making system for gymnasiums. The system structure diagram is as follows figure 1 shown.
[0031] The image acquisition module is used to acquire the original images of each sub-area and the panorama of the gymnasium.
[0032] First establish the BIM of the gym, BIM (Building Information Modeling), that is, the building information model. It is a digital tool applied to engineering design, construction, and management. Through the integration of data and information models of gyms, it can be shared and transmitted in the whole life cycle of gym planning, operation, and maintenance. It should be noted that there are various a...
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The invention provides a gymnasium intelligent management decision-making system based on visual perception. The system comprises an image acquisition module, a three-dimensional coordinate detectionmodule, a dispossessing behavior judgment module and a density grading module. The image acquisition module is used for constructing a BIM of a gymnasium, acquiring an original image of each subarea,projecting the original image of each subarea to a BIM ground plane and splicing the original images; the three-dimensional coordinate detection module is used for detecting human body key point three-dimensional coordinates of each customer in the original images and outputting a human body key point three-dimensional coordinate sequence and a key point thermodynamic diagram; the dispossessing behavior judgment module is used for detecting whether customers in the fitness equipment area have fitness equipment dispossessing behaviors or not; the density grading module is used for detecting customer density grades corresponding to the fitness area positioning point superposition graphs, and finally the BIM is visualized, so that a worker can timely observe information such as the behavior occurrence place of dispossessing of fitness equipment, the fitness area customer density grades and the like on a Web.
Description
technical field [0001] This application relates to the field of machine vision, in particular to an intelligent management and decision-making system for gymnasiums based on visual perception. Background technique [0002] With the development of science and technology and the improvement of living standards, people's fitness awareness has been greatly improved, and many people will choose to go to the gym to exercise. However, some customers in the gym occupy fitness equipment, resulting in a waste of fitness resources. Moreover, there will be situations in the gym where some fitness equipment is more popular with customers. At this time, the number of such equipment needs to be increased. [0003] Existing detection of occupying fitness equipment mainly relies on the staff to patrol in the gym. This method is costly, and manual judgment is subjective, and misjudgment may occur. Contents of the invention [0004] In view of the above problems, the present invention prop...
Claims
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Login to View More IPC IPC(8): G16H20/30G06K9/00
CPCG16H20/30G06V40/20G06V40/10
Inventor 李宗山李鹏举王涛王冰冰
Owner ZHENGZHOU NORMAL UNIV