Image processing-based flood detection

This paper discusses about the design of an online ftood detection and early warning system which integrated to using Raspberry-PI and optical sensor. Raspberry-PI is a single board of computer which in this case we design as an image processor to process image obtained from the webcam and update th...

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Main Authors:	Ariawan, Angga, Pebrianti, Dwi, Ronny, Akbar, Yudha Maulana, Margatama, Lestari, Bayuaji, Luhur
Format:	Conference or Workshop Item
Language:	English English
Published:	Springer Singapore 2019
Subjects:	QA76 Computer software TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/25020/ http://umpir.ump.edu.my/id/eprint/25020/ http://umpir.ump.edu.my/id/eprint/25020/ http://umpir.ump.edu.my/id/eprint/25020/1/49.%20Image%20Processing-Based%20Flood%20Detection.pdf http://umpir.ump.edu.my/id/eprint/25020/2/49.1%20Image%20Processing-Based%20Flood%20Detection.pdf

id	ump-25020
recordtype	eprints
spelling	ump-250202019-12-09T03:33:02Z http://umpir.ump.edu.my/id/eprint/25020/ Image processing-based flood detection Ariawan, Angga Pebrianti, Dwi Ronny Akbar, Yudha Maulana Margatama, Lestari Bayuaji, Luhur QA76 Computer software TK Electrical engineering. Electronics Nuclear engineering This paper discusses about the design of an online ftood detection and early warning system which integrated to using Raspberry-PI and optical sensor. Raspberry-PI is a single board of computer which in this case we design as an image processor to process image obtained from the webcam and update the result to the twitter. This research can help some of the citizens who live near the river to get tbe updated information regarding water conditions and the possibility of flooding so that they can take action to secure their properties and families as soon as possible. We use OpenCV as an image processing application. The steps are as follows: (1) Region of Interest to create a portion of an image to filter or perform some other operation. (2) Brightness and contrast adjustment in order to get brighter and better image before the next process. (3) Grayscale and threshold to create segmentation object with Otsu-thresholding. ( 4) Edge detection algorithm to find edge points on a roughly horizontal water line and riverbank height By using the above method, the system can read and monitor the \Valer level of a river or other water bodies. If the water level exceeds the specific threshold, the system will generate notification as early warning for the possibility of floodi ng by uploading the text and image to the twitter regarding that condition. The citizens will get the information if they follow that account (early warning system) on Twitter. The result of this simulation using prototype that we have made is that the system can read the water conditions with an increase in accuracy reaching 99.6o/o. Springer Singapore 2019 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/25020/1/49.%20Image%20Processing-Based%20Flood%20Detection.pdf pdf en http://umpir.ump.edu.my/id/eprint/25020/2/49.1%20Image%20Processing-Based%20Flood%20Detection.pdf Ariawan, Angga and Pebrianti, Dwi and Ronny and Akbar, Yudha Maulana and Margatama, Lestari and Bayuaji, Luhur (2019) Image processing-based flood detection. In: Proceedings of the 10th National Technical Seminar on Underwater System Technology 2018, 27-28 September 2018 , Universiti Malaysia Pahang. pp. 371-380., 538. ISBN 978-981-13-3708-6 (Online) https://doi.org/10.1007/978-981-13-3708-6_32 https://doi.org/10.1007/978-981-13-3708-6_32
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English English
topic	QA76 Computer software TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	QA76 Computer software TK Electrical engineering. Electronics Nuclear engineering Ariawan, Angga Pebrianti, Dwi Ronny Akbar, Yudha Maulana Margatama, Lestari Bayuaji, Luhur Image processing-based flood detection
description	This paper discusses about the design of an online ftood detection and early warning system which integrated to using Raspberry-PI and optical sensor. Raspberry-PI is a single board of computer which in this case we design as an image processor to process image obtained from the webcam and update the result to the twitter. This research can help some of the citizens who live near the river to get tbe updated information regarding water conditions and the possibility of flooding so that they can take action to secure their properties and families as soon as possible. We use OpenCV as an image processing application. The steps are as follows: (1) Region of Interest to create a portion of an image to filter or perform some other operation. (2) Brightness and contrast adjustment in order to get brighter and better image before the next process. (3) Grayscale and threshold to create segmentation object with Otsu-thresholding. ( 4) Edge detection algorithm to find edge points on a roughly horizontal water line and riverbank height By using the above method, the system can read and monitor the \Valer level of a river or other water bodies. If the water level exceeds the specific threshold, the system will generate notification as early warning for the possibility of floodi ng by uploading the text and image to the twitter regarding that condition. The citizens will get the information if they follow that account (early warning system) on Twitter. The result of this simulation using prototype that we have made is that the system can read the water conditions with an increase in accuracy reaching 99.6o/o.
format	Conference or Workshop Item
author	Ariawan, Angga Pebrianti, Dwi Ronny Akbar, Yudha Maulana Margatama, Lestari Bayuaji, Luhur
author_facet	Ariawan, Angga Pebrianti, Dwi Ronny Akbar, Yudha Maulana Margatama, Lestari Bayuaji, Luhur
author_sort	Ariawan, Angga
title	Image processing-based flood detection
title_short	Image processing-based flood detection
title_full	Image processing-based flood detection
title_fullStr	Image processing-based flood detection
title_full_unstemmed	Image processing-based flood detection
title_sort	image processing-based flood detection
publisher	Springer Singapore
publishDate	2019
url	http://umpir.ump.edu.my/id/eprint/25020/ http://umpir.ump.edu.my/id/eprint/25020/ http://umpir.ump.edu.my/id/eprint/25020/ http://umpir.ump.edu.my/id/eprint/25020/1/49.%20Image%20Processing-Based%20Flood%20Detection.pdf http://umpir.ump.edu.my/id/eprint/25020/2/49.1%20Image%20Processing-Based%20Flood%20Detection.pdf
first_indexed	2023-09-18T22:38:12Z
last_indexed	2023-09-18T22:38:12Z
_version_	1777416737868742656

Image processing-based flood detection

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