Design of an All-in-One Drowning Prevention and Monitoring System

Yaomin Ma *

School of Mechanical Engineering, North China University of Water Resources and Electric Power, Zhengzhou-450000, China.

*Author to whom correspondence should be addressed.


Abstract

The frequent occurrence of drowning accidents has brought a large negative impact on the whole society. In response to this situation, in order to improve the traditional waterside supervision and protection facilities and reduce drowning accidents, this paper illustrates an all-in-one drowning prevention and monitoring system with a modular design, and carries out a large number of experiments and optimisation of the system's functions such as danger warning and real-time monitoring. The results show that the system can efficiently achieve the functions of alarm and distress in drowning accidents and reduce the occurrence of drowning accidents.

Keywords: drowning, monitoring system, Open Cv, Raspberry Pi


How to Cite

Ma, Y. (2024). Design of an All-in-One Drowning Prevention and Monitoring System. Journal of Engineering Research and Reports, 26(6), 76–82. https://doi.org/10.9734/jerr/2024/v26i61163

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References

World Health Organization. drowning [EB/OL]; 2022. Available:https://www.who.int/zh/news- room/fact-sheets/detail/drowning

Wang Xiaoyu,Hou Xinmiao,Wang Jiachang, et al. China's youth drowning pre-vention big data report [R]. Beijing:People's Daily Opinion Data Centre; 2022.

Dai Xinghua,Zhang Yanwei. Practice and exploration of early warning mechanism for drowning prevention[J]. Science Consultation (Educational Research). 2019;(07):24.

Su Y. Research on Building construction fire safety management based on image recognition technology [D]. Chongqing university; 2022. DOI:10.27670/,dcnki.Gcqdu. 2021.000382.

Deng J, Wang Shoufeng, Huang Xiaoping, et al. Water quality on-line detection system based on STM32 design [J]. Journal of electronics. 2023;31(18):7-10 + 19.

DOI: 10.16589/j.carol carroll nki cn11-3571/tn. 2023.18.018.

GUO Xunwen,FENG Yan. Dual-mode mobile phone remote control lifebuoy basedon Wi-Fi technology[J]. Modern Information Technology. 2022;6(19):146-149.

DOI: 10.19850/j.cnki.2096-4706.2022.19.035.

Dong Zhenhua, HE Miao. Pedestrian Detection System Based on OpenMV [J]. Science and Technology Innovation. 2023 (24):92-95.

Li Rongrong. The design of the automatic shower water control alarm system [J]. Journal of electronics. 2023;31(17):86-89. DOI: 10.16589 / j.carol carroll nki cn11-3571/ tn. 2023.17.018

Zhang Wei, Yang Shenshen, He Weiwei, et al. Research on DC brushless Motor Drive control of deep-sea manned submersible [J]. Ship Science and Technology. 2019;46(01):126-131.

Zhang DW. Application of visual inspection system based on Open CV[J]. Mec-hatronics Information. 2024; (01):7-10. DOI: 10.19514/j.cnki.cn32-1628/tm.2024. 01.002

Jia Shuangying,Yang Chunle. Research on children's drowning prevention test based on OpenCV and CNN[J]. Computer and Telecommunications. 2023(08):85-89 DOI: 10.15966/j.cnki.dnydx.2023.08.003

Yang Kaiyi, Liu Zhongwang, Wang Chuqiao, et al. Research on the development of veterinary assisted clinical diagnosis APP based on Turing robot [J]. Chinese Journal of Veterinary Medicine. 2019,56(02):42-45.