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Driver-Drowsiness-Detection-master/README.md

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+# Driver-Drowsiness-Detection
+Driver drowsiness detection is a project built using Dlib and OpenCV with Python as a backend language.
+<h3>Logic of project</h3>
+The project includes direct working with the 68 facial landmark detector and also the face detector of the Dlib library.
+The 68 facial landmark detector is a robustly trained efficient detector which detects the points on the human face using which 
+we determine whether the eyes are open or they are closed.</br></br>
+<center><img src="https://raw.githubusercontent.com/infoaryan/Driver-Drowsiness-Detection/master/screenshots/landmarks.jpg" align="center" height="350"></center>
+<b>The 68-landmark detector data (.dat) file can be found <a href="http://dlib.net/files/shape_predictor_68_face_landmarks.dat.bz2"> By clicking here</a></B>
+
+<h3>The working of the project</h3>
+<ul><li>As you can see the<b> above screenshot</b> where the landmarks aredetected using the detector.
+<li>Now we are taking the ratio which is described as <i>'Sum of distances of vertical landmarks divided by twice the distance between horizontal landmarks'</i>.
+<li>Now this ratio is totally dependent on your system which you may configure accordingly for the thresholds of sleeping, drowsy, active.</ul>
+<p><img src="https://raw.githubusercontent.com/infoaryan/Driver-Drowsiness-Detection/master/screenshots/active.jpg" align="center" height="350">
+<img src="https://raw.githubusercontent.com/infoaryan/Driver-Drowsiness-Detection/master/screenshots/drowsy.jpg" align="center" height="350">
+<img src="https://raw.githubusercontent.com/infoaryan/Driver-Drowsiness-Detection/master/screenshots/sleepy.jpg" align="center" height="350">
+
+<h2>Detailed Explanation video of the project : </h2><a href="https://youtu.be/ksi42rwGyas">Youtube video link</a>