Swimming pool drowning prevention human body target detection method and device, computer equipment and storage medium

Abstract

The embodiment of the invention discloses a swimming pool drowning prevention human body target detection method and device, computer equipment and a storage medium. The method comprises the following steps: acquiring images shot by a plurality of cameras located above the water surface of the swimming pool to obtain original images; inputting the original image into a target detection model to carry out swimming pool drowning prevention human body target detection so as to obtain a detection result; and outputting the detection result. Wherein the target detection model is obtained by training a convolutional neural network by taking a plurality of images with position labels of the human body target as a sample set. By implementing the method provided by the embodiment of the invention, the human body target of the swimming pool can be quickly and accurately detected, and the accuracy of drowning supervision is improved.

Description

technical field [0001] The invention relates to a target detection method, more specifically to a swimming pool anti-drowning human body target detection method, device, computer equipment and storage medium. Background technique [0002] With the development of sports, people's enthusiasm for participating in sports is increasing, but swimming, one of the popular sports, has become the sport with the highest incidence of safety accidents. According to incomplete statistics released by the Ministry of Health, about 57,000 people die in drowning accidents in my country every year, of which 56.04% are teenagers, making them the number one cause of death among teenagers, and China's drowning death rate is the highest in the world. [0003] At present, when carrying out anti-drowning supervision, people in the swimming pool will be detected and positioned relative to each other. However, the existing methods basically rely on lifeguards sitting at a higher position to watch, and...

AI Technical Summary

Problems solved by technology

[0003] At present, when carrying out anti-drowning supervision, people in the swimming pool will be detected and positioned relative to each other. However, the existing methods basically rely on lifeguards sitting at a higher position to watch, and it is difficult to detect all the people. There will be a variety of facilities and debris such as stands, life-saving equipment, training equipment, and personal belongings of swimmers. There will also be a variety of floating objects in the swimming pool, such as lane lines and training equipment, which will easily affect judgment and cause the pool to prevent drowning. Target detection is inaccurate, which affects the accuracy of drowning supervision

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