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Volume 14
Issue 1
10.3390/jsan14010013
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This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
Article

An Intelligent Water Level Estimation System Considering Water Level Device Gauge Image Recognition and Wireless Sensor Networks

by
Chihiro Yukawa
1,
Tetsuya Oda
2,*,
Takeharu Sato
3,
Masaharu Hirota
4,
Kengo Katayama
2 and
Leonard Barolli
5
1
Graduate School of Science and Engineering, Okayama University of Science, 1-1 Ridaicho, Kita-ku, Okayama City 700-0005, Japan
2
Department of Information and Computer Engineering, Okayama University of Science, 1-1 Ridaicho, Kita-ku, Okayama City 700-0005, Japan
3
Department of Biosphere-Geosphere Science, Okayama University of Science, 1-1 Ridaicho, Kita-ku, Okayama City 700-0005, Japan
4
Department of Information Science and Engineering, Okayama University of Science, 1-1 Ridaicho, Kita-ku, Okayama City 700-0005, Japan
5
Department of Information and Communication Engineering, Fukuoka Institute of Technology, 3-30-1, Washirohigashi, Higashi-ku, Fukuoka City 811-0295, Japan
*
Author to whom correspondence should be addressed.
J. Sens. Actuator Netw. 2025, 14(1), 13; https://doi.org/10.3390/jsan14010013
Submission received: 4 December 2024 / Revised: 24 January 2025 / Accepted: 27 January 2025 / Published: 30 January 2025
(This article belongs to the Special Issue Applications of Wireless Sensor Networks: Innovations and Future Trends)
Versions Notes

Abstract

The control of water levels in various environments is very important for predicting flooding and mitigating flood damages. Generally, water level device gauges are used to measure water levels, but the structural setting of reservoirs presents significant challenges for the installation of water level device gauges. Therefore, the solution to this problem is to apply image recognition methods using water level device gauges. In this paper, we present an intelligent water level estimation system considering water level device gauge image recognition and a Wireless Sensor Network (WSN). We carried out experiments in a water reservoir to evaluate the proposed system. From the experimental results, we found that the proposed system can estimate the water level via the object recognition of numbers and symbols on the water level device gauge.
Keywords: water level estimation; object recognition; wireless sensor networks water level estimation; object recognition; wireless sensor networks

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MDPI and ACS Style

Yukawa, C.; Oda, T.; Sato, T.; Hirota, M.; Katayama, K.; Barolli, L. An Intelligent Water Level Estimation System Considering Water Level Device Gauge Image Recognition and Wireless Sensor Networks. J. Sens. Actuator Netw. 2025, 14, 13. https://doi.org/10.3390/jsan14010013

AMA Style

Yukawa C, Oda T, Sato T, Hirota M, Katayama K, Barolli L. An Intelligent Water Level Estimation System Considering Water Level Device Gauge Image Recognition and Wireless Sensor Networks. Journal of Sensor and Actuator Networks. 2025; 14(1):13. https://doi.org/10.3390/jsan14010013

Chicago/Turabian Style

Yukawa, Chihiro, Tetsuya Oda, Takeharu Sato, Masaharu Hirota, Kengo Katayama, and Leonard Barolli. 2025. "An Intelligent Water Level Estimation System Considering Water Level Device Gauge Image Recognition and Wireless Sensor Networks" Journal of Sensor and Actuator Networks 14, no. 1: 13. https://doi.org/10.3390/jsan14010013

APA Style

Yukawa, C., Oda, T., Sato, T., Hirota, M., Katayama, K., & Barolli, L. (2025). An Intelligent Water Level Estimation System Considering Water Level Device Gauge Image Recognition and Wireless Sensor Networks. Journal of Sensor and Actuator Networks, 14(1), 13. https://doi.org/10.3390/jsan14010013

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