Survey and Implementation of Drowsy Driver Detection System |
Author(s): |
| Pallavi Prakash Fatkure , RMCET, Ambav(Devrukh); Tejashree Pratap Kanavje, RMCET, Ambav(Devrukh); Rupali Ramesh Zore, RMCET, Ambav(Devrukh); Prajakta Prakash Ambolkar, RMCET, Ambav(Devrukh); Seema K. Bhuravane, RMCET, Ambav(Devrukh) |
Keywords: |
| Face Detection, Eye and Eye Retina Detection, Drowsiness, Alarm, Alert |
Abstract |
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One of the main reasons for vehicle accidents in the world is the lack of attention of driver while driving. A driver gets distracted by many reasons like heavy workload, stress etc. Thousands of people are killed or seriously injured due to driver’s drowsiness each year. In this type of driver drowsiness detection system we first capture the face image of driver using a camera located insight the car. It segment only face region and excluded background portion. We choose the eye region as our decision parameter because the eye region is very dynamic in nature and drowsiness of person can only be determined by looking at eyes. If the eye is opened the situation is normal and if eyes are closed we generate an alarm signal to alert the driver. This system will help to reduce the accidents on road. |
Other Details |
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Paper ID: IJSRDV4I21078 Published in: Volume : 4, Issue : 2 Publication Date: 01/05/2016 Page(s): 1132-1134 |
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