| Issue |
E3S Web Conf.
Volume 474, 2024
X International Annual Conference “Industrial Technologies and Engineering” (ICITE 2023)
|
|
|---|---|---|
| Article Number | 02031 | |
| Number of page(s) | 8 | |
| Section | Applied IT Technologies in Energy and Industry | |
| DOI | https://doi.org/10.1051/e3sconf/202447402031 | |
| Published online | 08 January 2024 | |
Prerequisites for developing the computer vision system for drowning detection
Department of Сomputer Systems, Kazan National Research Technical University named after A. N. Tupolev – KAI, Kazan, Russia
* Corresponding author: landwatersun@mail.ru
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.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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