Capture Your Emotions

In computer vision, one essential problem we are trying to figure out is to go automatically detect objects in an image without human intervention. Face detection can be thought of as a problem where we detect human faces in an image. In the field of Artificial Intelligence, Computer Vision is one of the most interesting and Challenging tasks. OpenCV is an open- source library. It is supported by various programming languages such as R, and Python. It runs on most platforms such as Windows, Linux, and MacOS. It is an image and video processing library and is used for image and video analysis. This project utilizes OpenCV Library to make Real-Time Face Detection using your webcam as a primary camera. The requirements are Python 2.7, OpenCV, NumPy, and Haar Cascade Frontal face classifiers. This project uses LBPH (Local Binary Patterns Histograms) Algorithm to detect faces. It labels an image’s pixels by thresholding each pixel’s neighborhood. The model built is trained with the faces with tags given to them, and later on, the machine is given test data and the machine decides the correct label for it. Perhaps, we will develop a real-time human face recognition model with python and OpenCV.