prateek951 / minor-project

Minor Project on Drowsiness Detection System uses Viola Jones Classification Algorithm. The Techstack is Python and its libraries, Computer Vision library OpenCV, Python REST API using Flask, UI/UX to integrate with the model of the application

Drowsiness Detection System - MINOR2K18

Drowsiness Detection System based on Computer Vision Techniques and uses the Viola Joles Classifier. This project is made using various technologies comprising of Computer Vision and Web Development.

Getting Started

pip install all the relevant packages to start the application in your local environment.

Prerequisites

Things that are required to be installed.

Must have Python 3.6 or above installed on your system enabled with pip. Anaconda distribution will also do however it is not a prerequisite. 
Install packages using pip install e.g 
To install dlib, run pip install dlib 
To install opencv, run pip install opencv-python
To install immutils, run pip install immutils and so on for other packages 

Built With

• Flask - Python REST-API for serving the model
• Python and its libraries - Python and its libraries

Authors

• Prateek Madaan - Initial work - prateek951
• Mukul Agrawal - Initial work - Mukul001
• Deepak Tripathi - Initial work - deepaktripathi1997
• Navneet Juneja - Initial work - navneetjuneja26

License

This project is licensed under the MIT License - see the LICENSE.md file for details

Acknowledgments

• Thanks to the StackOverflow Community for providing necessary help whenever we got stuck