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Anti-Sleep Alarm with Vehicle Speed Reducer and Accident Alarm + Location Detector

Shubham Bhosale, Anand Mohite, Sanket Suryawanshi, Prof. R. R. Dodake

Abstract


Worldwide, road traffic accidents are still a major safety issue due to driver fatigue and delayed emergency response. An integrated system called "Anti-Sleep Alarm with Vehicle Speed Reducer and Accident Alarm mit Detector" is presented in this paper, which seeks to enhance vehicle safety through real-time monitoring and automated control. It detects fatigue in drivers and sets off an alarm, but if no response is received, it automatically slows down the vehicle to prevent potential accidents. GSM communication is used to send the vehicle's real- time GPS location to predetermined contacts after a collision.

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References


Singh, S., Papanikolopoulos, N.P. Monitoring Driver Fatigue Using Facial Analysis Techniques. IEEE Transactions on Intelligent Transportation Systems. 1999, 1(2), 122– 131p.

Ji, Q., Yang, X. Real-Time Eye, Gaze, and Face Pose Tracking for Monitoring Driver Vigilance. Real-Time Imaging. 2002, 8(5), 357–377p.

Bergasa, L.M. et al. Real-Time System for Monitoring Driver Vigilance. IEEE Transactions on Intelligent Transportation Systems. 2006, 7(1), 63–77p.

Abulkhair, M., Naji, A. Intelligent Accident Detection and Alert System Using GSM and GPS Technologies. International Journal of Engineering Research and Applications. 2013, 3(4), 123–129p.

Sharma, A., Kumar, R. Vehicle Accident Detection and Reporting System Using GSM and GPS. International Journal of Computer Applications. 2015, 112(9), 15–19p.

D’Orazio, T., Leo, M. A Review of Vision-Based Driver Monitoring Systems. Journal of Real-Time Image Processing. 2010, 5(2), 89–104p.

Mohan, D., Tsimhoni, O. Driver Behavior and Fatigue Analysis in Intelligent Transportation Systems. Transportation Research Part F. 2009, 12(5), 456–468p.

Arduino. Arduino Uno Technical Specifications. Arduino Official Documentation. 2018.

Lee, J.D., Young, K.L. Driver Distraction and Fatigue in Intelligent Vehicles. Human Factors Journal. 2008, 50(3), 391–404p.

World Health Organization. Global Status Report on Road Safety. WHO Press. 2018.


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