Face Recognition using OpenCV, KNN-Algorithm and OOP concepts

Face detection is a computer technology being used in a variety of applications that identifies human faces in digital images. Face detection also refers to the psychological process by which humans locate and attend to faces in a visual scene.

• OpenCV- OpenCV (Open source computer vision) is a library of programming functions mainly aimed at real-time computer vision.
• NumPy- NumPy is a library for the Python programming language, adding support for large, multi-dimensional arrays and matrices, along with a large collection of high-level mathematical functions to operate on these array.
• OS- OS module in python is a way of using operating system based functionality. The function that OS module provides allows you to interface with the underlying operating system that python is running on – be the Windows, Mac or Linux. You can find important information about your location or about the process.

• Haar Cascade Classifier

This project uses the face detection code to create a database consisting of faces of detected people in the form of .npy files in a folder namely data. Faces of multiple people can be detected in a continuous manner i.e the program will take in data till the collector wants to provide it with the same (OOP). The Recognition Program works on KNN Algorithm to identify the person in front of the camera by using the database created in the data folder.