readme licence and other images

LICENSE

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+MIT License
+
+Copyright (c) 2019 Ayush Jaiswal
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

README.md

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+# Fatigue(Drowsiness) Detection using OpenCV[![](https://img.shields.io/badge/License-MIT-yellow.svg)](https://github.com/jaisayush/Fatigue-Detection-System-Based-On-Behavioural-Characteristics-Of-Driver/blob/master/LICENSE)  [![](https://img.shields.io/badge/Ayush-Jaiswal-brightgreen.svg)](https://github.com/jaisayush)
+## Applications
+### This can be used by riders who tends to drive the vehicle for a longer period of time that may lead to accidents
+## Code Requirements
+### The example code is in Python ([version 2.7](https://www.python.org/download/releases/2.7/) or higher will work).
+## Dependencies
+```
+ 1)import cv2
+ 2)import immutils
+ 3)import dlib
+ 4)import scipy
+ 5)import playsound
+ 6)import queue
+ 7)import time
+ 8)import sys
+ ```
+## Description
+###  A computer vision system made with the help of opencv that can automatically detect driver drowsiness in a real-time video stream and then play an alarm if the driver appears to be drowsy.
+## Algorithm
+● We utilised a pre trained frontal face detector from Dlib’s library which is based on  a modification to the Histogram of Oriented Gradients in combination with Linear  SVM for classification.  
+
+● The pre-trained facial landmark detector inside the dlib library is used to estimate  the location of 68 (x, y)-coordinates that map to facial structures on the face. The 68  landmark output is shown in the figure below. However, we utilised the 70 landmark  model.
+
+<img src="https://github.com/jaisayush/Fatigue-Detection-System-Based-On-Behavioural-Characteristics-Of-Driver/blob/master/face.PNG">
+
+● We then calculate the aspect ratio to check whether eyes are opened or closed.
+
+● The eye is open if Eye Aspect ratio is greater than threshold. (Around 0.3)
+
+<img src="https://github.com/jaisayush/Fatigue-Detection-System-Based-On-Behavioural-Characteristics-Of-Driver/blob/master/eye.PNG">
+
+● A blink is supposed to last 200-300 milliseconds.
+
+● A drowsy blink would last for  800-900  ms. 
+
+<img src="https://github.com/jaisayush/Fatigue-Detection-System-Based-On-Behavioural-Characteristics-Of-Driver/blob/master/eye_aspect_ratio.PNG">
+
+## Execution
+To run the code, run 
+
+```
+python blinkDetect.py
+```