IoT-enabled Sensor Networks: Architecture, Methodologies, Security, and Futuristic Applications

Author(s): Aman Jatain*, Sarika Chaudhary and Manju

DOI: 10.2174/9789815049480124060005

Automatic Accident Detection and Alerting System using IoT

Pp: 32-49 (18)

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* (Excluding Mailing and Handling)

  • * (Excluding Mailing and Handling)

Abstract

SHS investigation development is considered from the geographical and historical viewpoint. 3 stages are described. Within Stage 1 the work was carried out in the Department of the Institute of Chemical Physics in Chernogolovka where the scientific discovery had been made. At Stage 2 the interest to SHS arose in different cities and towns of the former USSR. Within Stage 3 SHS entered the international scene. Now SHS processes and products are being studied in more than 50 countries.

Abstract

This 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 victim’s 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.

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