Overview / Usage

ark student class attendance using facial recognition target is a university setting to save time in lecture halls and encourage student attendance of lectures .
Done creating the facial recognition model.
The general application (GUI and back-end) are in progress also working on extending it to a smartphone camera.

Methodology / Approach

Project to mark student class attendance using facial recognition (applies Machine Learning) implements Local binary patterns histograms (LBPH).
The project handles capturing facial data of students to create a dataset used to train a model using the LBPH (generates training data per face id) and also detect the faces in the classroom setting.
The algorithm then uses Euclidean Distances to match faces from a camera feed against those in the dataset.

Technologies Used

python3.6
OpenCV 3.4.1
mongodb

Repository

https://github.com/RexMudanya/Student-Facial-Recognition

Other links

• project documentation