Skip to content

Latest commit

 

History

3 Commits

Folders and files

NameName
Last commit message
Last commit date
 
 
 
 
 
 
 
 

Repository files navigation

MozoHack 2019

Above is a re-upload of everything that my team and I worked on and developed at the Mozohack 24-Hour Hackathon. This is a working model of our product, which has an AI assisted automated attendance system. Using basic hardware elements such as a 720 camera, institutions and offices can use our services to automate the attendance process.

Instructions:

Install and unpack electron inside the /main Open Terminal and run electron using npm start Default logins credentials are: staff@mozohack.com | mozostaff admin@mozohack.com | mozoadmin All codes are equipped with appropriate logs for debug. Deep comments will be added soon.

Email for issues.

About

This is a face detection and recognition system for the whole classroom using CCTV camera. It will recognize the face of each student in a class simultaneously and can mark attendance at a specified time. Moreover, it will recognize the student satisfaction level in real time to grade the lecture quality. In future, we are thinking to scale this…

Resources

Stars

9 stars

Watchers

1 watching

Forks

Releases

Packages

Contributors

Languages