A Survey on Proactive Accident Avoidance System Using IOT

Authors(5) :-Mithilaesh J., Santhoshkumar K., Ashwinbalaji P., Dr. S. Hemalatha, Dr. V. Subedha

Distracted driving is one of the major causes of vehicle collisions. Passively tracking a motive force's activities constitutes the premise of a car protection machine that may probably reduce the quantity of injuries by using estimating the driver's attention of interest. Car vehicles are increasingly more being prepared with twist of fate avoidance and caution systems for fending off the potential collision with an external item, which includes every other car or a pedestrian. Upon detecting a potential issue, such structures generally provoke an action to keep away from the collision and/or provide a caution to the automobile operator. As the primary reasons of automobile coincidence have been associated with human factors, they may be classified in one of the two important driving force's distraction categories (Alcohol consumption, Drowsiness and distracted imaginative and prescient).the principle purpose of this paper is to investigate the diverse present proactive accident avoidance structures and listing out their blessings and disadvantages.

Authors and Affiliations

Mithilaesh J.
Department of CSE, Panimalar Institute of Technology, Chennai, Tamil Nadu, India
Santhoshkumar K.
Department of CSE, Panimalar Institute of Technology, Chennai, Tamil Nadu, India
Ashwinbalaji P.
Department of CSE, Panimalar Institute of Technology, Chennai, Tamil Nadu, India
Dr. S. Hemalatha
Department of CSE, Panimalar Institute of Technology, Chennai, Tamil Nadu, India
Dr. V. Subedha
Department of CSE, Panimalar Institute of Technology, Chennai, Tamil Nadu, India

PERCLOS, Sagging Posture, Electroencephalographic, Kinect, Adaboost Classifier, Hidden Markov Model, Blood Alcohol Content.

  1. G. Daza et al., "Drowsiness monitoring based on driver and driving data fusion," 2011 14th International IEEE Conference on Intelligent Transportation Systems (ITSC), Washington, DC, 2011, pp. 1199-1204.
  2. Indu R. Nair ,Nadiya Ebrahimkutty , Priyanka B.R , Sreeja M, Prof. Gopu Darsan, A Survey on Driver Fatigue-Drowsiness Detection System,” Journal Of Engineering And Computer Science (IJECS), https://www.ijecs.in, Volume 5 Issue 11, Nov 2016, 19237-19240, DOI: 10.18535/ijecs/v5i11.92.
  3. Multi-Sensor Soft-Computing System for Driver Drowsiness Detection by Li, Klaudius Werber, Carlos F. Calvillo, Khac Dong Dinh, Ander Guarde and Andreas Konig in 2012 online conference on soft computing in industrial application, December.
  4. Wei, S. C. Mukhopadhyay, R. Jidin and C. P. Chen, "Multi-source information fusion for drowsy driving detection based on wireless sensor networks," 2013 Seventh International Conference on Sensing Technology (ICST), Wellington, 2013, pp. 850-857.
  5. Driver distraction detection and recognition using RGB-D sensor by Céline Craye and Fakhri Karray.
  6. Hybrid Driver Fatigue Detection System Based on Data Fusion with Wearable Sensor Devices by QuanZhe Li, Juan Wu, Shin-Dug Kim and Cheong-Ghil Kim.
  7. Driver -Vehicle-Interface (D-V-I): A Method for Averting Driver’s Drowsiness by Priyanaka Sawant, M.Z.Shaikh in International Journal of Recent Advances in Engineering & Technology (IJRAET), Volume-3, and Issue 1, 2015.
  8. Alcohol Detection and Vehicle Controlling by Pratiksha Bhuta, Karan Desai, Archita Keni, International Journal of Engineering Trends and Applications (IJETA) – Volume 2 Issue 2, Mar-Apr 2015.
  9. Drunken Drive Protection System by J.Vijay, B.Saritha, B.Priyadharshini, S.Deepeka, R.Laxmi, and International Journal of Scientific & Engineering Research Volume 2, Issue 12, and December-2011.
  10. Automatic Drunken Drive Prevention System by M. Kousikan, M. Sundaraj, International Journal of Students Research in Technology & Management Vol 2 (02), March-April 2014.
  11. Smart Drunken Driver Detection and Speed Monitoring System for Vehicles by Bandi Sree Geeta, Diwakar R. Marur, International Journal of Advanced Technology in Engineering and Science, Volume No.03, Issue No. 03, March 2015.
  12. Unsafe Driving Detection System using Smartphone as Sensor Platform by Prarna Dhar , Sarika Shinde, Nikhil, Jadav , Anirudha Bhaduri, International Journal of Enhanced Research in Management & Computer Applications, Vol. 3 Issue 3, March-2014.
  13. Integrated Drunken Driving Prevention System by T. Shyam Ramanath, A. Sudharsan, and A. Kavitha, World Academy of Science, Engineering and Technology, International Journal of Electrical, Computer, Energetic, Electronic and Communication Engineering Vol:4, No:12, 2010.

Publication Details

Published in : Volume 2 | Issue 1 | January-February 2017
Date of Publication : 2017-02-28
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 29-34
Manuscript Number : CSEIT17216
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Mithilaesh J., Santhoshkumar K., Ashwinbalaji P., Dr. S. Hemalatha, Dr. V. Subedha, "A Survey on Proactive Accident Avoidance System Using IOT", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 1, pp.29-34, January-February.2017
URL : http://ijsrcseit.com/CSEIT17216

Follow Us

Contact Us