IEEE Style Citation: A. Mohanapriya, N. Saranya , S.P. Kavya , R. Deepak , M. Mahitha ,G. Gobi, “Accident Prevention and Detection System Using Image Processing and IoT,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.3, pp.456-460, 2019.
MLA Style Citation: A. Mohanapriya, N. Saranya , S.P. Kavya , R. Deepak , M. Mahitha ,G. Gobi "Accident Prevention and Detection System Using Image Processing and IoT." International Journal of Computer Sciences and Engineering 7.3 (2019): 456-460.
APA Style Citation: A. Mohanapriya, N. Saranya , S.P. Kavya , R. Deepak , M. Mahitha ,G. Gobi, (2019). Accident Prevention and Detection System Using Image Processing and IoT. International Journal of Computer Sciences and Engineering, 7(3), 456-460.
BibTex Style Citation:
@article{Mohanapriya_2019,
author = {A. Mohanapriya, N. Saranya , S.P. Kavya , R. Deepak , M. Mahitha ,G. Gobi},
title = {Accident Prevention and Detection System Using Image Processing and IoT},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {3 2019},
volume = {7},
Issue = {3},
month = {3},
year = {2019},
issn = {2347-2693},
pages = {456-460},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=3861},
doi = {https://doi.org/10.26438/ijcse/v7i3.456460}
publisher = {IJCSE, Indore, INDIA},
}
RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i3.456460}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=3861
TI - Accident Prevention and Detection System Using Image Processing and IoT
T2 - International Journal of Computer Sciences and Engineering
AU - A. Mohanapriya, N. Saranya , S.P. Kavya , R. Deepak , M. Mahitha ,G. Gobi
PY - 2019
DA - 2019/03/31
PB - IJCSE, Indore, INDIA
SP - 456-460
IS - 3
VL - 7
SN - 2347-2693
ER -
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Abstract
Drivers United Nations agency don`t take regular breaks once driving long distances run a high risk of turning into drowsy a state that they usually fail to acknowledge early enough according to the experts. Both driver somnolence and distraction, however, might need identical effects, i.e., shriveled driving performance, longer response time, associated a redoubled risk of crash involvement. Driving may be a complicated task wherever the motive force is accountable of observance the road, taking the correct decision on time and finally responding to other driver`s actions and different road conditions. A Studies show that around one quarter of all serious motorway accidents is attributable to sleepy drivers in need of a rest, meaning that drowsiness causes more road accidents than drink-driving. Attention assist will warn of inattentiveness associated somnolence in an extended speed vary and apprize drivers of their current state of fatigue.
Key-Words / Index Term
Face Detection, Mouth Detection and Yawning Detection
References
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