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Automatic Accident Detection and Alerting System using IoT
- Authors: Aman Jatain1, Sarika Chaudhary2, Manju3
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View Affiliations Hide AffiliationsAffiliations: 1 Department of Computer Science and Engineering, Amity University, Haryana, India 2 Manav Rachna International Institute of Research and Studies (MRIIRS), Faridabad, Mohali, India 3 Department of Computer Science and Information Technology, Jaypee Institute of Information Technology, Noida, Uttar Pradesh, India
- Source: IoT-enabled Sensor Networks: Architecture, Methodologies, Security, and Futuristic Applications , pp 32-49
- Publication Date: March 2024
- Language: English
Automatic Accident Detection and Alerting System using IoT, Page 1 of 1
< Previous page | Next page > /docserver/preview/fulltext/9789815049480/chapter-3-1.gifThis chapter proposes the implementation of an automatic accident detection and alerting system utilizing the Internet of Things (IoT). This system aims to swiftly and efficiently locate accident sites and notify emergency services, there by expediting the transfer of victims to medical centers. Road accidents are one of the leading causes of death annually, primarily due to delays in reporting the incidents. The proposed system operates in two main parts. First, when a vehicle is impacted, sensors installed in the vehicle activate and capture the location via the Global System for Mobile Communication (GSM) module. Subsequently, information about the accident site and the victims condition is sent to a registered phone number through the GSM module. Essentially, when an accident occurs, the installed piezoelectric sensor immediately detects the impact, relaying this information to the microcontroller. The microcontroller then sends an alert message, including location and other pertinent details, to the registered unit to ensure timely medical assistance. This system aims to enhance the efficiency of medical services in reaching accident victims promptly, potentially saving lives that might otherwise be lost due to delayed accident reporting.<br>
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