Year: 2025
Type: article
Abstract: : This paper presents an IoT-based real-time accident detection and alert system using Raspberry Pi. The system utilizes an accelerometertodetectsuddenimpacts,analcoholsensortomonitorthedriver'scondition,andacameramoduletocapture the driver's image upon accident detection. The geographical location is retrieved using the IPStack API instead of a traditional GPS module. A machine learning model processes real-time video input to identify accidents visually. When an accidentisdetectedbyeithertheaccelerometerortheMLmodel,relevantdataincludingdriverimages,accidentframes,and locationare sentviaemailusingSMTPprotocol.Additionally,allsystemdataisuploadedandvisualizedinreal-timeonthe ThingSpeak cloud platform, offering graphical insights for monitoring. This integrated solution enhances post-accident response time, driver condition analysis, and centralized cloud-based monitoring.
Author: Mrs. Chetali Mhetre
Language: English
Subfield: Mechanical Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4410469297