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ROLLCAM - An app to dynamically keep track of every individual's presence in the office using live attendance

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RollCam App

Summer of Code 2018, IIT Kanpur

This project was developed during the Summer of Code 2018, IIT Kanpur. The project was based on making a Django based WebApp for seamless detection of attendance via Face Detection. Azure Face Api was used to detect faces captured by the camera (CCTV). From the image obtained the faces were classified and matched with the pre-existing faces stored in the database to calculate their attendance. This attendance was recorded in short time intervals continuously so as to ensure the continuous presence of that person.

Requirements:

Python Libraries Required:

  numpy

How to Run:

  • Open Terminal
  • Type:
    git clone https://github.com/Harshagarwal19/SOC-2018
    cd SOC-2018
    pip install -r requirements.txt
    python3 manage.py runserver

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ROLLCAM - An app to dynamically keep track of every individual's presence in the office using live attendance

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