Smart Dam Automation Using Internet of Things, Image Processing and Deep Learning

Maya Srinivas, Akash R, Barkha N, Brunda P, Ravikumar S

2024

Abstract

The Integrated Dam Automation and Crack Detection System enhances dam safety and efficiency by integrating advanced technologies. It achieves two key objectives. One is crack detection using the YOLOv5 deep learning model for high-precision structural defect identification and other is IoT-based monitoring and control system for automating dam operations. YOLOv5, deployed using OpenCV with camera, detects cracks in real-time, while IoT devices, managed by Arduino microcontrollers, monitor parameters like water level, rainfall, and turbidity. Servo motors automate gate control based on real-time data from sensors thereby ensuring efficient water management. A Telegram-based alert system provides real-time notifications about critical issues, enabling timely interventions. Additionally, a dashboard offers visualized data for effective monitoring and management. The developed system is having high accuracy in crack detection and effective monitoring of various parameters of dam and significantly reducing human intervention.

Paper Citation

in Harvard Style

Srinivas M., R A., N B., P B. and S R. (2024). Smart Dam Automation Using Internet of Things, Image Processing and Deep Learning. In Proceedings of the 2nd International Conference on Intelligent and Sustainable Power and Energy Systems - Volume 1: ISPES; ISBN 978-989-758-756-6, SciTePress, pages 164-170. DOI: 10.5220/0013652600004639

in Bibtex Style

@conference{ispes24,
author={Maya Srinivas and Akash R and Barkha N and Brunda P and Ravikumar S},
title={Smart Dam Automation Using Internet of Things, Image Processing and Deep Learning},
booktitle={Proceedings of the 2nd International Conference on Intelligent and Sustainable Power and Energy Systems - Volume 1: ISPES},
year={2024},
pages={164-170},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013652600004639},
isbn={978-989-758-756-6},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Conference on Intelligent and Sustainable Power and Energy Systems - Volume 1: ISPES
TI - Smart Dam Automation Using Internet of Things, Image Processing and Deep Learning
SN - 978-989-758-756-6
AU - Srinivas M.
AU - R A.
AU - N B.
AU - P B.
AU - S R.
PY - 2024
SP - 164
EP - 170
DO - 10.5220/0013652600004639
PB - SciTePress