Fermé

Driver Drowsiness Detection code in python

deadline 8/7

design a drowsiness detection system to prevent these accidents. Your

system will be able to detect that a person’s eyes are closed for a few seconds. You will build

this system by using Python, which will alert the driver when he feels

sleepy.

The dataset consists of 2900 images which include both normal and yawning images. You may

find the dataset in ACG OneDrive/link.

You will have to feed the images of drivers into a Deep Learning model which will classify

whether the person’s eyes are “Open” or “Closed”. The steps of the approach follows:

Step 1 – Take image as input from a camera.

Step 2 – Detect the face in the image and create a Region of Interest.

Step 3 – Detect the eyes from Region of Interest and feed it to the classifier.

Step 4 – Classify whether eyes are open or closed.

Step 5 – Calculate score to check whether the person is drowsy.

Disclaimer: The Dataset is available in ACG OneDrive/link and it is free for non-commercial

use. We do not claim the ownership of this Dataset. You can use it for educational purposes

only

*** The project is uploaded to the kaggle site and I would like NOT to use its code.

Compétences : Python, Neural Networks, Deep Learning, Machine Learning (ML), Algorithme

Concernant le client :
( 11 commentaires ) Rodos, Greece

Nº du projet : #33971277

46 freelances font une offre moyenne de 176 € pour ce travail

(95 Commentaires)
6.9
saubhagyamweb

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