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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 6, ISSUE 5, MAY 2017

Accident Detection by an Intelligent System

Bhalerao Harshal A., Jadhav Sarika J., Jadhav Snehal B

DOI: 10.17148/IJARCCE.2017.6547

Abstract: Most of the accidents on highways as well as on roads can lead to social as well as economic impacts. For minor accidents it is not necessary to give much more attention because passengers themselves take care. Whereas other accidents in which airbags are deployed requires immediate attention. Accident Detection by an Intelligent System (ADIS) is a smart system which informs to the emergency contacts through text messages when there is a change in acceleration, rotation and force which is detected by different sensors. These sensors are connected to the central system of the car. The idea behind this system is to inform authorities after collision immediately to avoid congestion and allows passengers to be hospitalized quickly. The system consists of Fuzzy logic as a decision support which decides accident is happened or not.



Keywords: Fuzzy Logic, Accident, Arduino, Accelerometer.

How to Cite:

[1] Bhalerao Harshal A., Jadhav Sarika J., Jadhav Snehal B, “Accident Detection by an Intelligent System,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2017.6547