Abstract
In the utilization of urban public facilities, it is found that the number of people under 18 years who exercise accounts for 29.5% of the total number of people surveyed, 32.8% between 18 and 65 years, and 37.7% over 65 years. The elderly have become the main population of public facilities, and the aging of cities is becoming more and more obvious. Strengthening the construction and development of urban public facilities has become the main work of current urban construction, and planning public facilities can effectively alleviate the pressure of urban public facilities. Through image recognition to promote urban sports public service, we improve the management efficiency of urban sports public service, facilitate residents' sports, and improve residents' satisfaction and happiness index. Through image recognition to manage portraits and objects, the safety of residents' sports and sports facilities is guaranteed, and the management efficiency is improved. The experimental results show that R-CNN, FAST R-CNN, and Faster R-CNN in urban public facilities can be intelligently recognized by image recognition technology for comparison. Faster R-CNN has good accuracy and low average time. Finally, the study analyzes the service cost of public facilities, compared with traditional public services, with the application of public services under image recognition, so as to guide different groups of people to make full use of public service facilities to improve their quality of life and realize the good behavior of the national movement.
Highlights
With the development of the times, in order to improve people’s sports satisfaction index, sports facilities can be managed through urban sports public services under image recognition
If the retrieved images contain multiple adult images, they are regarded as adult images. rough this method, children are prevented from contacting pornographic content through browsers in the era of developed Internet
Takeda et al [3] verify identity in less than 0.1 seconds by finger image recognition. is method is based on the whole finger image and finger joint line pattern. is method is not disturbed by external factors, low cost, and simple algorithm; through experiments, the experimental error rate is low
Summary
With the development of the times, in order to improve people’s sports satisfaction index, sports facilities can be managed through urban sports public services under image recognition. In order to meet the relevant requirements, the quality and management level of urban sports public services should be improved. Liang [14] compares the differences of sports public services between urban and rural areas in Beijing by various methods, as well as the investment and development of public facilities and the participation of residents in physical fitness. As the influence of population, gender, age, educational level, and other factors has an impact on the current situation of urban sports, using image recognition technology can improve the utilization rate of the corresponding public facilities and can analyze the planning and effective utilization of public facilities
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