Detection of Driver Drowsiness Using Eye Blink sensor

Authors

  • Apurva Mirge  Student, Department of Computer Engineering, Dr. D. Y. Patil School of Engineering, Lohegoan, Savitribai Phule Pune University, Pune, Maharashtra, India
  • Priya Sharma  Student, Department of Computer Engineering, Dr. D. Y. Patil School of Engineering, Lohegoan, Savitribai Phule Pune University, Pune, Maharashtra, India
  • Kashmira Shendge  Student, Department of Computer Engineering, Dr. D. Y. Patil School of Engineering, Lohegoan, Savitribai Phule Pune University, Pune, Maharashtra, India
  • Savita Thakre  Student, Department of Computer Engineering, Dr. D. Y. Patil School of Engineering, Lohegoan, Savitribai Phule Pune University, Pune, Maharashtra, India
  • Prof. Ajit Pagar  Professor, Department of Computer Engineering, Dr. D. Y. Patil School of Engineering, Lohegoan, Savitribai Phule Pune University, Pune, Maharashtra, India

Keywords:

Drowsiness, Eye blink sensor, Driving, Vibrator, Buzzing Alarm.

Abstract

Nowadays, drowsy driving has become a leading cause of accidents. The mechanism for detecting fatigue and sleepiness while driving has been categorized into three broad approaches, including vehicle-based, physiological-based, and behavior-based approaches. By the study of these measurement methodologies and comparing them, we came up with some new ideas to measure the drowsiness of a person on the road using more advanced techniques, more reliability, low complexity, etc. This system is developed using various sensors like eye blink sensor, alcohol sensor, fire sensor and raspberry pi microcontroller. If the driver is found drowsy he will be alerted by buzzing alarm. Driver gets distract when an object or event draws a person’s attention away from the driving task. Alcohol consumption also results in the same effects. The paper leads to the solution for preventing the accidents happening due to these effects of alcohol consumption and drowsiness.

References

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2019-10-30

Issue

Volume 4, Issue 8, September-October-2019

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Apurva Mirge, Priya Sharma, Kashmira Shendge, Savita Thakre, Prof. Ajit Pagar, " Detection of Driver Drowsiness Using Eye Blink sensor, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 4, Issue 8, pp.129-134, September-October-2019.