Fitness room facility layout optimization method and system based on image processing

Abstract

The invention relates to the technical field of artificial intelligence, in particular to a fitness room facility layout optimization method and system based on image processing. The method comprises the following steps of acquiring the device images of all fitness devices in a fitness room, and acquiring the local optimization images of the small devices according to a second target neural network, wherein the loss functions of the second target neural network comprise a first loss function, a second loss function and a third loss function; the first loss function is a similarity loss function; the second loss function is an area loss function; and the third loss function is an overlap ratio loss function; inputting the local optimization images into a trajectory prediction network for re-training; and after the second target neural network is stably converged, obtaining an overall optimization image to adjust the fitness room, so that the fitness devices are reasonably planned, the fitness paths of the fitness personnel during fitness exercises are potentially guided, and the problems of low manual guiding efficiency and idle fitness devices are effectively solved.

Description

Technical field [0001] The present invention relates to the field of artificial intelligence, and more particularly to image processing based gym facilities layout optimization methods and systems. Background technique [0002] At present, people have begun to deepen their understanding of sports, gradually realizing the importance of scientific movements, and more and more people walk into the gym for various sports. [0003] The fitness equipment to be used for people to use for different fitness needs is different. When the individual fitness equipment is high, if the distribution between the devices is unreasonable, the distribution of fitness personnel will become unreasonable, and there may be a personal crowd and The device is idle, the existing solution is usually solving the problem of unreasonable layout through artificial guidance or device intelligent guidance, but this method will consume more human resources resources and more in fitness personnel. In the case, it i...

AI Technical Summary

Problems solved by technology

[0003] The fitness equipment used by people with different fitness needs is also different. When the utilization rate of individual fitness equipment is high, if the distribution of equipment is unreasonable, the distribution of fitness personnel will also become unreasonable, and there may be crowding and In the case of idle equipment, the existing solution is usually to solve the problem of unreasonable layout through human guidance or intelligent guidance of equipment, but this method will consume more human and material resources, and in the case of many fitness personnel situation, it is easy to fail to achieve thoughtful guidance service due to negligence

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