ARCHIVES
Research Article
Driver Drowsiness and Alcohol Detection System
Nidhin K.V1
Manikandan N R2
Afna V N3
Jesbin Joy4
A S Sahadulla5
1 Assistant Professor, Department of Electronics and Communication Engineering, Universal Engineering College Vallivattom, Thrissur, Kerala, India. 2,3,4,5Department of Electronics and Communication Engineering, Universal Engineering College Vallivattom, Thrissur, Kerala, India.
Published Online: July-August 2023
Pages: 01-05
Cite this article
↗ https://www.doi.org/10.59256/ijsreat.20230304001
Abstract
Road accidents became a matter of concern due to the huge increase in traffic. The primary cause of accidents is due to the drowsiness of drivers in the nighttime. Fatigue and drowsiness are some of the leading causes of major accidents on Highways. Now a day’s drowsiness due to drunken driving is increasing. If driver is found to be drowsiness in eyes more than 2secs, then the sensor senses the eye movement of driver, long with drowsiness alcohol detection is also detected by using alcohol MQ3 sensor. The alcohol is detected in driver’s breathe.
Related Articles
2023
Protein Structure Prediction Using FCNN
2023
Specialized Beta wave Binaural Auditory Beats for Reducing Attention Deficit Disorder
2023
Glass Fibre Insulated with self-Compacting Concrete
2023
A Novel Transformer-less Adaptable Voltage Quadrupler DC Converter with closed loop control For Electric Vehicle
2023
Mobile Education for Learning: Advantages and Challenges on Undergraduate Students’ Usage in Tertiary Institutions
2023
