
Journal of Advances in Developmental Research
E-ISSN: 0976-4844
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Impact Factor: 9.71
A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 16 Issue 1
2025
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IOT BASED AUTOMATIC VEHICLE ACCIDENT DETECTION AND RESCUE SYSTEM
Author(s) | Shaik Shaikshavali, Chagaleti Padmavathi, Jeradoddi Rajesh, Palagiri Venkateswara Reddy, Bandaru Venkata Mohan, S.Kushalatha |
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Country | India |
Abstract | Road accidents are a critical hassle, resulting in a massive lack of lifestyles because of delays in emergency reaction. To deal with this hassle, we endorse an IoT-primarily based vehicle detection and recovery gadget that detects injuries in actual time and provides a rapid reaction. The gadget integrates diverse sensors, inclusive of a vibration sensor, a MEMS sensor, an ultrasonic sensor, and a temperature sensor, for vehicle fitness tracking and collision detection. When an coincidence takes place, the Arduino microcontroller methods the information from the sensors and triggers. A buzzer is activated to signify the accident, and the GPS module statistics the precise location, that is then sent to emergency services and family individuals via an internet connection. In addition, motor drives and DC automobiles can be used to simulate automobile operation for trying out functions. The machine is battery-powered and shows real-time statistics on an LCD display. This low-price and efficient solution appreciably reduces response times and increases the chances of saving lives in essential situations. |
Keywords | Embedded C, NodeMCU, Alcohol sensor, Vibration sensor,. |
Field | Engineering |
Published In | Volume 16, Issue 1, January-June 2025 |
Published On | 2025-04-03 |
Cite This | IOT BASED AUTOMATIC VEHICLE ACCIDENT DETECTION AND RESCUE SYSTEM - Shaik Shaikshavali, Chagaleti Padmavathi, Jeradoddi Rajesh, Palagiri Venkateswara Reddy, Bandaru Venkata Mohan, S.Kushalatha - IJAIDR Volume 16, Issue 1, January-June 2025. |
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CrossRef DOI is assigned to each research paper published in our journal.
IJAIDR DOI prefix is
10.71097/IJAIDR
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