Smart Pool Monitoring System Using YOLO

  • Unique Paper ID: 188199
  • PageNo: 1049-1053
  • Abstract:
  • The Smart Pool Monitoring System Using YOLO project is designed to improve safety in swimming pools by using smart technology. It uses a computer program called YOLO (You Only Look Once), a real-time object detection algorithm. We have fine-tuned it with a dataset. It is used to identify and locate human figures within each frame. The algorithm outputs bounding boxes and confidence scores, which help isolate humans from the background. This can quickly look at video and spot people in the water. If someone is in the pool at an unsafe time or shows signs of being in danger, the system can immediately send warning through a message or alert the concerned people. The system works by uploading the recorded video, breaking it into frames (images), and then checking each frame to see if a person is present or drowning. If it finds something unusual, like a person struggling in the water, it raises an alert. This project helps lifeguards and pool staff act faster in emergencies.

Copyright & License

Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{188199,
        author = {Abhilash Saini and Abhishek and Kavana M R and Padmavathi and Rashmi P C},
        title = {Smart Pool Monitoring System Using YOLO},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {7},
        pages = {1049-1053},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=188199},
        abstract = {The Smart Pool Monitoring System Using YOLO project is designed to improve safety in swimming pools by using smart technology. It uses a computer program called YOLO (You Only Look Once), a real-time object detection algorithm. We have fine-tuned it with a dataset. It is used to identify and locate human figures within each frame. The algorithm outputs bounding boxes and confidence scores, which help isolate humans from the background. This can quickly look at video and spot people in the water. If someone is in the pool at an unsafe time or shows signs of being in danger, the system can immediately send warning through a message or alert the concerned people. The system works by uploading the recorded video, breaking it into frames (images), and then checking each frame to see if a person is present or drowning. If it finds something unusual, like a person struggling in the water, it raises an alert. This project helps lifeguards and pool staff act faster in emergencies.},
        keywords = {},
        month = {December},
        }

Cite This Article

Saini, A., & Abhishek, , & R, K. M., & Padmavathi, , & C, R. P. (2025). Smart Pool Monitoring System Using YOLO. International Journal of Innovative Research in Technology (IJIRT), 12(7), 1049–1053.

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