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| Paper Title: | Drowsiness Detecting from Face Images (eyes and mouth) Using Tensorflow & Open-cv with Real time Video |
| Authors Name: | Dipesh Patel , Kunal Bendale , Kalpesh Patil , Shubham Patil , Prof. Mahendra Jagtap |
| Unique Id: | IJSDR2204034 |
| Published In: | Volume 7 Issue 4, May-2022 |
| Abstract: | In recent years, drowsiness is the main cause of the accidents in India due to lack of sleep, tiredness and so on. In order to reduce the case of vehicle accidents caused by drowsiness of the driver is to detect them and warn them using an alarm. Many techniques, such as eye retina detection, have been used to detect sleepiness by facial features. Here in this paper, we propose a method for detecting the driver’s drowsiness by detecting the person’s closed eye for a few seconds. In this report, we propose a more accurate method for detecting drowsiness, by. The main contribution for this project is the drowsiness detection and warning, which is based on the person’s open or closed eye. This project discuss on how to detect the eyes of the driver from the real time environment using the webcam represents the dashboard camera in a car. By using the real time detection, author use the built-in laptop webcam to detect the eyes of the demonstrator. The drowsiness detection ystem will detect the open and closed eye. The designed system will detect the face area and the coordinate of the eye. Detecting the face area is narrow down to detect eyes within face area. Both left and right eyes will be framed out once it found. The parameters of the eyes the eyes will be captured, whether it is closed or open. If the eyes are found closed for 4 consecutive frames, it is confirm that the driver is in drowsiness condition. |
| Keywords: | Open CV, Tensor Flow, Detection, Drowsiness System, Machine Learning system |
| Cite Article: | "Drowsiness Detecting from Face Images (eyes and mouth) Using Tensorflow & Open-cv with Real time Video", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.7, Issue 4, page no.190 - 193, May-2022, Available :http://www.ijsdr.org/papers/IJSDR2204034.pdf |
| Downloads: | 000223214 |
| Publication Details: | Published Paper ID: IJSDR2204034 Registration ID:200306 Published In: Volume 7 Issue 4, May-2022 DOI (Digital Object Identifier): Page No: 190 - 193 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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