Recognizing people by their faces in pictures and video feeds is seen everywhere starting from social media to phone cameras. A face recognition system is built for matching human faces with a digital image. Ultimately what a computer recognizes is pixel values ranging from 0-255. In Computer Vision face recognition has been in since ages and has evolved over the years. Many researchers have come up with many new techniques to efficiently identify and tell apart faces.

In this Python tutorial, you'll learn how to facial recognition with Python and the face_recognition library Welcome to a tutorial for implementing the face recognition package for Python. The purpose of this package is to make facial recognition (identifying a face) fairly simple. Whether it's for security, smart homes, or something else entirely, the area of application for facial recognition is quite large, so let's learn how we can use this technology. To begin, we need to install everything. Installation instruction splits between Windows and Linux for some dependencies, then there is a common part for them.

Did you know that every time you upload a photo to Facebook, the platform uses facial recognition algorithms to identify the people in that image? Or that certain governments around the world use face recognition technology to identify and catch criminals? I don't need to tell you that you can now unlock smartphones with your face! The applications of this sub-domain of computer vision are vast and businesses around the world are already reaping the benefits. The usage of face recognition models is only going to increase in the next few years so why not teach yourself how to build one from scratch?