Driver Drowsiness Detection System Using Raspberry Pi
| Author(s) | : | Ms. Vibhuti.V. Sakure, Prof. V. S. Bhatlavande |
| Institution | : | Electronics & Telecommunication Engineering, Siddhant College Of Engineering, Sudumbre, Pune |
| Published In | : | Vol. 7, Issue 7 — July 2020 |
| Page No. | : | 148-153 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
Driver & Road protection system is included for this proposed program. The driver's face is projected from acolor picture shot in a vehicle, based on computer vision techniques. Face recognition is then used to identify the regionsof the driver's eyes which are used in corresponding frames as the templates for eye tracking. Photos from the trackedeye are used for the identification of drowsiness to produce warning alerts. The method suggested has three phases: Eyerecognition, eye identification and prediction of drowsiness. The function of image processing is to identify the driver'sface, and then remove the driver's eye image for drowsiness detection. The algorithm for hair face detection takes imageframes captured as input and then the face observed as output. This method can be inferred as a low cost and reliableway to minimize the number of injuries related to the driver's Drowsiness in order to improve the health of travel.
Ms. Vibhuti.V. Sakure, Prof. V. S. Bhatlavande, “Driver Drowsiness Detection System Using Raspberry Pi”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 7, Issue 7, pp. 148-153, July 2020.
