Face Recognisation Using Machine Learning (KNN)

Machine Learning | KNN | Computer Vision | OpenCV

Face detection using Haar cascades is a machine learning based approach where a cascade function is trained with a set of input data. Here, Haar cascades is used to detect the human faces in frame. Then further KNN algorithm is used to recognise the person in that purticular frame.

Requirements:

• OpenCV
• Haar cascades (XML already included)
• Python3
• Numpy

Usage:

1. Training the model:

• Firstly, clone the repository.
• Install the OpenCV and required libraries.
• Run collect.py file using python collect.py
• Model will save some images of yours, you can track the progress in terminal. After saving some images, press q to terminate the program.

2. Face Recognisation:

• Run detect.py file using python detect.py to detect faces in frame.

Screenshots: