An Automated Safety Gate Model for Enhancing River Bridge Safety during Floods

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Auteurs principaux: Pawar, Kumudini D., Yadav, Isha Samarth, Shelke, Sneha Pravin
Format: Recurso digital
Publié: Zenodo 2026
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author Pawar, Kumudini D.
Yadav, Isha Samarth
Shelke, Sneha Pravin
author_facet Pawar, Kumudini D.
Yadav, Isha Samarth
Shelke, Sneha Pravin
contents <p><strong><em><span>Abstract</span></em></strong></p> <p><em><span>We delve into the pressing issue of bridge safety during the rainy season, where overflowing rivers pose a significant threat to public safety. The unfortunate reality is that many accidents occur as people attempt to cross these hazardous bridges, often resulting in tragic consequences. At the core of our mission lies a commitment to protecting lives and preventing accidents during overflow situations. We have introduced the Automatic Safety Gates model. Designed with precision and care, our Automatic Safety Gates are specifically crafted to mitigate risks and ensure the safety of individuals using bridges in critical scenarios. Our primary goal has always been to develop solutions that effectively prevent accidents, and this model is a testament to our unwavering dedication. We believe that with the implementation of our Automatic Safety Gates, you can rest assured that lives are safeguarded, risks are minimized, and safety is prioritized at all times. In the paper we discuss about the model named Safety Gates for Bridge. As we have seen in rainy season many bridges are dangerous to cross because of over of river. And while crossing the bridge many people swept away with river water. Thus, the aim of our research is to prevent the accidents on bridge during overflow. Therefore, we have worked on the model of Automatic Safety gates. This model prevent the life loss during overflow. </span></em></p> <p> </p>
format Recurso digital
id zenodo_https___doi_org_10_5281_zenodo_18922242
institution Zenodo
language
publishDate 2026
publisher Zenodo
record_format zenodo
spellingShingle An Automated Safety Gate Model for Enhancing River Bridge Safety during Floods
Pawar, Kumudini D.
Yadav, Isha Samarth
Shelke, Sneha Pravin
Keywords: Automated Safety Gate, Bridge Safety, Flood Detection, Arduino Uno, Water Level Sensor, Servo Motor, Disaster Management, Embedded System, Flood-Prone Areas, Real-Time Monitoring
<p><strong><em><span>Abstract</span></em></strong></p> <p><em><span>We delve into the pressing issue of bridge safety during the rainy season, where overflowing rivers pose a significant threat to public safety. The unfortunate reality is that many accidents occur as people attempt to cross these hazardous bridges, often resulting in tragic consequences. At the core of our mission lies a commitment to protecting lives and preventing accidents during overflow situations. We have introduced the Automatic Safety Gates model. Designed with precision and care, our Automatic Safety Gates are specifically crafted to mitigate risks and ensure the safety of individuals using bridges in critical scenarios. Our primary goal has always been to develop solutions that effectively prevent accidents, and this model is a testament to our unwavering dedication. We believe that with the implementation of our Automatic Safety Gates, you can rest assured that lives are safeguarded, risks are minimized, and safety is prioritized at all times. In the paper we discuss about the model named Safety Gates for Bridge. As we have seen in rainy season many bridges are dangerous to cross because of over of river. And while crossing the bridge many people swept away with river water. Thus, the aim of our research is to prevent the accidents on bridge during overflow. Therefore, we have worked on the model of Automatic Safety gates. This model prevent the life loss during overflow. </span></em></p> <p> </p>
title An Automated Safety Gate Model for Enhancing River Bridge Safety during Floods
topic Keywords: Automated Safety Gate, Bridge Safety, Flood Detection, Arduino Uno, Water Level Sensor, Servo Motor, Disaster Management, Embedded System, Flood-Prone Areas, Real-Time Monitoring
url https://doi.org/10.5281/zenodo.18922242