Euclidean Distance Analysis to Detect Eye Movements for Accident Prevention using Face Mapping and Computer Vision
Tushar Agarwal
, Tripti Chaudhary
sleep, computer vision, alert system, accident prevention, face detection
Increase in road accidents lately is a predicament to irregular sleep patterns. Sleepy drivers pose a risk not only to themselves but also to others around them. Hence anti-sleep mechanisms for vehicles are the need of the hour. These mechanisms are one of the essential features to prevent micro sleep and should be accommodated in all vehicles to ensure road safety. The proposed paper thus highlights one such system that uses face mapping and Computer Vision to identify the facial features of the driver and hence generate an alert whenever fatigue is detected. In the scope of this research, Euclidean distance is calculated for both eyes between the eyelids to identify if the eyes are closed or not. Once closed eyes are detected, audio and textual alerts are generated to draw the driver’s attention. According to this research, once sleepiness is detected audio alerts initiated at regular time intervals show the best results to ensure road safety.
"Euclidean Distance Analysis to Detect Eye Movements for Accident Prevention using Face Mapping and Computer Vision ", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.8, Issue 3, page no.1035 - 1039, March-2023, Available :https://ijsdr.org/papers/IJSDR2303171.pdf
Volume 8
Issue 3,
March-2023
Pages : 1035 - 1039
Paper Reg. ID: IJSDR_204699
Published Paper Id: IJSDR2303171
Downloads: 000347210
Research Area: Computer Engineering
Country: Gurgaon, Haryana, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave