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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)

International Peer Reviewed & Refereed Journals, Open Access Journal

IJCRT Peer-Reviewed (Refereed) Journal as Per New UGC Rules.

ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013

Call For Paper - Volume 14 | Issue 3 | Month- March 2026

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  Published Paper Details:

  Paper Title

Vehicle Blackbox System For Accident Analysis Using Iot.

  Authors

  Bhargavi Penugonda,  Abdul Khayum,  Shaankari Gudipati,  Niharika Kamireddy

  Keywords

Arduino UNO, Ultrasonic Sensor, MEMS Sensor, Alcohol Sensor, Potentiometer, GPS Module, GSM Module, LCD, DC Motor, Relay, Buzzer.

  Abstract


The rapid increase in vehicle usage worldwide has led to a surge in road accidents, resulting in millions of deaths and injuries annually. Human errors, vehicle malfunctions, and poor road conditions are major contributors. Delayed emergency responses exacerbate the issue. Road accidents have become a serious global concern. Traditional safety features like seat belts and airbags reduce injuries but don't prevent accidents. Modern technologies like IoT and sensor-based systems are being integrated into vehicles to improve safety. These systems detect potential hazards and alert drivers. They can help prevent accidents and improve road safety. Millions of people die due to the accidents. The main purpose of this paper is to rovide vehicle safety and a solution that automatically alert the driver to be cautious. In this system continuously monitoring the vehicle performance using sensors and the behaviour of driver with the use of IOT Technology. The Vehicle black box receives the information from various sensors like the MEMS sensor. If the accident occurs, by using GPS the vehicle location is traced and the information is sent to local hospital and police through the message. With the IOT Technology, this location is always traced in the cloud platform service. If any panic problems arises then the location is automatically sent through message and also the data will be uploaded through an IOT platform. The system incorporates an ultrasonic sensor to detect obstacles around the vehicle, ensuring timely responses to potential collisions. A relay is used to control the DC motor, which simulates vehicle movement, allowing for precise adjustments based on sensor input. Additionally, a buzzer provides audible alerts in the event of abnormal conditions, enhancing overall safety by promptly notifying the operator of any issues.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT25A4420

  Paper ID - 283620

  Page Number(s) - m140-m148

  Pubished in - Volume 13 | Issue 4 | April 2025

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Bhargavi Penugonda,  Abdul Khayum,  Shaankari Gudipati,  Niharika Kamireddy,   "Vehicle Blackbox System For Accident Analysis Using Iot.", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.13, Issue 4, pp.m140-m148, April 2025, Available at :http://www.ijcrt.org/papers/IJCRT25A4420.pdf

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Call For Paper March 2026
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ISSN and 7.97 Impact Factor Details


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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
ISSN
ISSN and 7.97 Impact Factor Details


ISSN
ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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