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              <text>An IoT-Based Model for Pothole Detection</text>
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              <text>Accelerometer; IoT; Pothole; ThingSpeak; Ultrasonic sensor</text>
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              <text>Maintenance of the good roads plays a very important role in the growth of the country. Poorly maintained roads can lead to potholes which causes severe accidents. To overcome the damage caused by poor roads, the pothole detection model has been proposed in this paper. In recent days, the Internet of Things (IoT)-embedded models are developed in different applications. The main objective of the proposed work is to design the IoT prototype to collect data which can be used to detect potholes and humps. This prototype is embedded with three sensors, namely accelerometer, ultrasonic sensor, and GPS. The data from these sensors is collected by the controller and transmitted by Wi-Fi module to store in the cloud. The collected data can be downloaded as a spreadsheet from the cloud and can be used for different data analysis applications like pothole notifier application.  2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.</text>
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              <text>Anandhi C.; Rajamohan K.</text>
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              <text>Lecture Notes in Electrical Engineering, Vol-840, pp. 487-497.</text>
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              <text>Springer Science and Business Media Deutschland GmbH</text>
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              <text>2022-01-01</text>
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              <text>&lt;a href="https://doi.org/10.1007/978-981-16-9012-9_39" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1007/978-981-16-9012-9_39&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85128660285&amp;amp;doi=10.1007%2F978-981-16-9012-9_39&amp;amp;partnerID=40&amp;amp;md5=d0be688e40aec47231ff014d01a221d3" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85128660285&amp;amp;doi=10.1007%2f978-981-16-9012-9_39&amp;amp;partnerID=40&amp;amp;md5=d0be688e40aec47231ff014d01a221d3&lt;/a&gt;</text>
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              <text>ISSN: 18761100; ISBN: 978-981169011-2</text>
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              <text>Anandhi C., CHRIST (Deemed To Be University), Bangalore, India; Rajamohan K., CHRIST (Deemed To Be University), Bangalore, India</text>
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