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International Journal of Scientific Research and Engineering Development( International Peer Reviewed Open Access Journal ) ISSN [ Online ] : 2581 - 7175 |
IJSRED » Archives » Volume 9 -Issue 3
📑 Paper Information
| 📑 Paper Title | HydroSense: Smart Water tank condition Assessment Using AI and Computer Vision |
| 👤 Authors | Z.Sharifah, Dr.P. Sivasankar |
| 📘 Published Issue | Volume 9 Issue 3 |
| 📅 Year of Publication | 2026 |
| 🆔 Unique Identification Number | IJSRED-V9I3P332 |
| 📑 Search on Google | Click Here |
📝 Abstract
Water tanks in homes and buildings are often checked too late, which allows algae, sediment, and other contamination to build up unnoticed. This paper presents a simple monitoring system that uses a Raspberry Pi, a camera, and controlled LED lighting to inspect the inside of the tank without placing any sensor in the water. The images are processed locally using OpenCV to estimate algae spread, turbidity, and overall tank condition, which are combined into a Water Health Score. The result is sent to AWS IoT Core through MQTT, stored in a device shadow, and used to trigger mobile alerts when the tank needs cleaning.
📝 How to Cite
Z.Sharifah, Dr.P. Sivasankar,"HydroSense: Smart Water tank condition Assessment Using AI and Computer Vision" International Journal of Scientific Research and Engineering Development, V9(3): Page(2586-2589) May-June 2026. ISSN: 2581-7175. www.ijsred.com. Published by Scientific and Academic Research Publishing.
📘 Other Details