Vehicle Accident Alerting and Monitoring with IOT-based Data Analytics

Abstract

An IoT-based smart accident reporting and environmental monitoring system is being designed and
implemented in this project. To identify vehicle accidents, the system uses accelerometer data that is higher than a
certain threshold; to identify fires, it uses data from a flame sensor. After an event is detected, the system uses GPS
to pinpoint the spot and sends the information to an emergency response team using a GSM module. In addition, the
system keeps tabs on variables like humidity, temperature, alcohol, smoke, and carbon monoxide levels using the
right sensors. These data points are received by the IoT platform, which may then analyze and display them in real-
time. Potentially applicable in smart transportation systems, this integrated approach enhances safety via facilitating
rapid accident reaction and environmental monitoring. Topics covered include thingspeak, sensors, IoT, GPS, data
monitoring, ESP8266, and hazard warnings.