Abstract
The problem of drowning is one of the most serious issues in terms of human life and health safety. Drowning victims often fall victim to accidental circumstances or unintentional actions, and the number of such incidents is significant. Thousands of drownings occur worldwide every year, resulting in a significant loss of lives, both among adults and children. This article focuses on exploring the prerequisites and developing a computer vision system for drowning detection. Drowning is a serious problem that poses substantial social, economic, and medical consequences for human life and health. The article discusses key computer vision technologies, image processing algorithms, and object recognition methods.
Cite
CITATION STYLE
Kozlov, E., & Gibadullin, R. (2024). Prerequisites for developing the computer vision system for drowning detection. In E3S Web of Conferences (Vol. 474). EDP Sciences. https://doi.org/10.1051/e3sconf/202447402031
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