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              <text>Smart car - accident detection and notification using amazon alexa</text>
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          <name>Subject</name>
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              <text>Amazon alexa; Arduino mega; Arduino UNO; NodeMCU; Raspberry pi</text>
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              <text>The high demand for automobiles has increased traffic hazards and road accidents. Life of the people is under high risk. This is because of the lack of the best emergency facilities available in the country. The proposed system can detect accidents in significantly less time and sends the basic information first to aid center and relatives of the victim on mobile and Amazon Alexa within a few seconds covering geographical coordinates. Various devices like Arduino UNO for car movement demonstration, Arduino Mega for accident detection and Raspberry Pi 3B for internet services gateway, accelerometer and impact sensor working together to detect an accident. All connected over the internet to generate a huge amount of data which holds a lot of information about the occurrence of the accident based on the speed and location and can be used to detect accident hotspots. The system also focuses on the safety of pedestrians where a safety band is programmed to perform the notification services using an emergency push button. The ESP8266 NodeMCU invokes the same services using a button on the module. The data generated may be used for the prediction, analysis to prevent future accidents and contribute to future road safety.  Springer Nature Switzerland AG 2020.</text>
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              <text>Grover L.; Kirubanand V.B.; Paulose J.</text>
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              <text>Internet of Things (IoT): Concepts and Applications, pp. 391-407.</text>
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              <text>2020-01-01</text>
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              <text>&lt;a href="https://doi.org/10.1007/978-3-030-37468-6_21" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1007/978-3-030-37468-6_21&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85089322858&amp;amp;doi=10.1007%2F978-3-030-37468-6_21&amp;amp;partnerID=40&amp;amp;md5=d5e07bcc838bbe1a21bfa679a6925fa6" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85089322858&amp;amp;doi=10.1007%2f978-3-030-37468-6_21&amp;amp;partnerID=40&amp;amp;md5=d5e07bcc838bbe1a21bfa679a6925fa6&lt;/a&gt;</text>
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              <text>ISBN: 978-303037468-6; 978-303037467-9</text>
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              <text>Online</text>
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              <text>Grover L., Department of Computer Science, Christ University, Bangalore, India; Kirubanand V.B., Department of Computer Science, Christ University, Bangalore, India; Paulose J., Department of Computer Science, Christ University, Bangalore, India</text>
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