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Vol. 8, No. 1, February 2023

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Water Level Detection for Flood Disaster Management Based on Real-time Color Object Detection

https://doi.org/10.22219/kinetik.v8i1.1635
Khairun Saddami
Universitas Syiah Kuala
Yudha Nurdin
Universitas Syiah Kuala
Fina Noviantika
Universitas Syiah Kuala
Maulisa Oktiana
Universitas Syiah Kuala
Sayed Muchallil
University of Oslo

Corresponding Author(s) : Khairun Saddami

khairun.saddami@unsyiah.ac.id

Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control, Vol. 8, No. 1, February 2023

Abstract

Currently, the water level monitoring system for a river uses instruments installed on the banks of the river and must be checked continuously and manually. This study proposes a real-time water level detection system based on a computer vision algorithm. In the proposed system, we use color object tracking technique with a bar indicator as a reference’s level. We set three bar indicators to determine the status of the water level, namely NORMAL, ALERT and DANGER. A camera was installed across the bar level indicators to capture bar indicator and monitoring the water level. In the simulation, the monitoring system was installed in 5-100 lux lighting conditions. For experimental purposes, we set various distances of the camera, which is set of 40-80 centimeters and the camera angle is set of 30-60 degrees. The experiment results showed that this system has an accuracy of 94% at camera distance is in range 50-80 centimeters and camera angle is 60o. Based on these results, it can be concluded that this proposed system can determine the water level well in varying lighting conditions.

Keywords

Computer Vision System Early Monitoring System Flood Disaster Management Real-Time Color Object Detection Water Level Detection
Saddami, K., Nurdin, Y., Noviantika, F. ., Oktiana, M., & Muchallil, S. (2023). Water Level Detection for Flood Disaster Management Based on Real-time Color Object Detection. Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control, 8(1), 507-516. https://doi.org/10.22219/kinetik.v8i1.1635
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Author Biographies

Khairun Saddami, Universitas Syiah Kuala

Departement Electrical and Computer Engineering

Yudha Nurdin, Universitas Syiah Kuala

Department Electrical and Computer Engineering

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