Automated pothole detection and notification system

There are a lot of studies regarding the detection of potholes using different methods. Most methods use image processing, but those methods require high cost materials like high quality camera in order for the image to be processed accurately. This study used a low cost sensor which is an accelerom...

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Main Authors: Celestial, Patricia Bianca M., Paden, Eirah Ritzel A., Pascual, Paolo G., San Buenaventua, Jose Ramon S.
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Language:English
Published: Animo Repository 2016
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Online Access:https://animorepository.dlsu.edu.ph/etd_bachelors/9133
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Institution: De La Salle University
Language: English
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spelling oai:animorepository.dlsu.edu.ph:etd_bachelors-97782021-08-25T02:58:51Z Automated pothole detection and notification system Celestial, Patricia Bianca M. Paden, Eirah Ritzel A. Pascual, Paolo G. San Buenaventua, Jose Ramon S. There are a lot of studies regarding the detection of potholes using different methods. Most methods use image processing, but those methods require high cost materials like high quality camera in order for the image to be processed accurately. This study used a low cost sensor which is an accelerometer. The accelerometer detected vibrations which was processed by a software. The sensor obtained the acceleration values depending on the intensity of the vibration which was assessed whether these values exceeded the threshold value set. When a pothole is detected, the camera and the GPS module attached to the system will be triggered. The camera took a snapshot of the pothole while the GPS module acquired the coordinates of its location in the form of latitude and longitude. After obtaining the coordinates, the system googled them and took a screenshot of the Google Maps view of the said location. The system then informed the Department of Public Works and Highways (DPWH) about the location and the image of the pothole by sending them an electronic mail. The average accuracy of the system in detecting potholes is 91.11%. Overall, the study showed that the system succesfully detected almost all of the potholes it passed through on the main roads. 2016-01-01T08:00:00Z text https://animorepository.dlsu.edu.ph/etd_bachelors/9133 Bachelor's Theses English Animo Repository System analysis Engineering
institution De La Salle University
building De La Salle University Library
continent Asia
country Philippines
Philippines
content_provider De La Salle University Library
collection DLSU Institutional Repository
language English
topic System analysis
Engineering
spellingShingle System analysis
Engineering
Celestial, Patricia Bianca M.
Paden, Eirah Ritzel A.
Pascual, Paolo G.
San Buenaventua, Jose Ramon S.
Automated pothole detection and notification system
description There are a lot of studies regarding the detection of potholes using different methods. Most methods use image processing, but those methods require high cost materials like high quality camera in order for the image to be processed accurately. This study used a low cost sensor which is an accelerometer. The accelerometer detected vibrations which was processed by a software. The sensor obtained the acceleration values depending on the intensity of the vibration which was assessed whether these values exceeded the threshold value set. When a pothole is detected, the camera and the GPS module attached to the system will be triggered. The camera took a snapshot of the pothole while the GPS module acquired the coordinates of its location in the form of latitude and longitude. After obtaining the coordinates, the system googled them and took a screenshot of the Google Maps view of the said location. The system then informed the Department of Public Works and Highways (DPWH) about the location and the image of the pothole by sending them an electronic mail. The average accuracy of the system in detecting potholes is 91.11%. Overall, the study showed that the system succesfully detected almost all of the potholes it passed through on the main roads.
format text
author Celestial, Patricia Bianca M.
Paden, Eirah Ritzel A.
Pascual, Paolo G.
San Buenaventua, Jose Ramon S.
author_facet Celestial, Patricia Bianca M.
Paden, Eirah Ritzel A.
Pascual, Paolo G.
San Buenaventua, Jose Ramon S.
author_sort Celestial, Patricia Bianca M.
title Automated pothole detection and notification system
title_short Automated pothole detection and notification system
title_full Automated pothole detection and notification system
title_fullStr Automated pothole detection and notification system
title_full_unstemmed Automated pothole detection and notification system
title_sort automated pothole detection and notification system
publisher Animo Repository
publishDate 2016
url https://animorepository.dlsu.edu.ph/etd_bachelors/9133
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