Driver Eye Blink Rate Detection and Alert System
Abhijeet R. Raipurkar1, Manoj B. Chandak2
1Abhijeet R. Raipurkar*, Department of Computer Science and Engineering, Shri Ramdeobaba College of Engineering & Management, Nagpur, India.
2Manoj B. Chandak, Department of Computer Science and Engineering, Shri Ramdeobaba College of Engineering & Management, Nagpur, India.
Manuscript received on January 14, 2020. | Revised Manuscript received on January 21, 2020. | Manuscript published on February 10, 2020. | PP: 489-492 | Volume-9 Issue-4, February 2020. | Retrieval Number: D1207029420/2020©BEIESP | DOI: 10.35940/ijitee.D1207.029420
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Drowsy driving is as dangerous as drunk driving. Many people, especially youth, ignore this and still continue to drive in this state. Drowsiness is the one of the major causes of road accidents, especially at night. Eating certain kinds of food causes the blood sugar levels to plummet which make the driver energy deprived. Many drivers consume alcohol at night which causes dizziness that leads to fatal accidents. Many lives are lost due to accidents caused by drowsiness. There are many papers which studied and found out the exact blink rate for drowsiness detection, but in this paper we will first study the driver’s blink rate, as it may vary from person to person, and then after learning, actions will be taken according to the driver’s learnt blink rate. This paper describes the system that monitors the blinks of the driver which can be used to detect drowsiness and prevent such fatalities. After detecting the drowsiness, we aim to alert the driver about the drowsiness using certain alarm sounds.
Keywords: Blink Detection, Blink Rate, Drowsiness Detection, Dizziness,
Scope of the Article: System Integration