Water Level Monitoring System Using Dual Camera

Authors

  • Sanket Bhosale Students Department of Electronics and Telecommunication(E&TC), Sinhgad College of Engineering, Pune 411041
  • R. S. Kawitkar Professor & Head Electronics and Telecommunication(E&TC) Department, Sinhgad College of Engineering, Pune 411041.
  • M. Selva Balan Scientist , RSA Division, Central Water and Power Research Station (C.W.P.R.S.), Pune 411024
  • Anuja Rajagopalan Scientist , RSA Division, Central Water and Power Research Station (C.W.P.R.S.), Pune
  • Sakshi Daware UG Students Department of Electronics and Telecommunication(E&TC), Sinhgad College of Engineering, Pune
  • Swaraj Shinde UG Students Department of Electronics and Telecommunication(E&TC), Sinhgad College of Engineering, Pune 411041

Keywords:

Water Level Monitoring, Raspberry Pi, Image Processing, Camera-Based System, Edge Detection, Real-Time Monitoring

Abstract

Monitoring water levels is essential for the proper operation of water resources and safety. Most existing systems use sensors like ultrasonic or float devices, but these methods often face problems like corrosion, regular maintenance, and reduced reliability in harsh conditions. In our work, we developed a camera-based water level monitoring system using Raspberry Pi 5. The camera continuously captures images of the water surface and processes them using image processing techniques such as greyscale conversion, filtering, and edge detection to identify the water level accurately. This method does not require direct contact with water, which helps improve durability. which improves durability and reduces maintenance costs. The processed data is used to monitor water levels and control the system accordingly. The proposed system provides an efficient, cost-effective, and reliable solution for modern water level monitoring applications.

DOI: https://doi.org/10.24321/2395.3802.202614

How to cite this article:
Kawitkar R S, Balan M S, Rajagopalan A, Bhosale S, Daware S, Shinde S. Water Level Monitoring System Using Dual Camera. J Adv Res Embed Sys 2026; 13(3&4): 15-18.

References

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Published

2026-06-19