Authors : Anand Labade; Anushka Chavhan; Shreyash Bhandarwar; Prashant Vallapure

Volume/Issue : Volume 9 - 2024, Issue 11 - November

Google Scholar : https://tinyurl.com/4huvcn7b

Scribd : https://tinyurl.com/3syvjpe4

DOI : https://doi.org/10.38124/ijisrt/24nov116

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

Abstract : Speed is a primary factor in road accidents, leading to a considerable number of fatalities. Many lives could be preserved if emergency services were alerted quickly about accidents and could arrive at the scene without delay. This project tackles this problem by suggesting an automated system for detecting accidents and sending alerts. The system is intended to identify accidents through sensors, pinpoint the exact location of the incident using GPS, and immediately inform the nearest emergency services. Specifically, the system utilizes an accelerometer to recognize unusual vehicle movements, such as tilting, upon detecting an accident, the system transmits real-time notifications that include the vehicle’s precise coordinates to emergency contacts, ensuring rapid assistance. This prompt response is vital, particularly in countries like India, where the rate of fatalities from road accidents is alarmingly high. By automating the detection and notification process, this system seeks to significantly decrease the time required for medical help to reach accident victims, potentially saving numerous lives.

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