Face Detection Using Python

The objective of the project is to detect human face in an image using python. This helps in detecting human faces in a virtual or a digital image. Our main objective is to detect human face in an image using methods like coordinates of the face in the image, depending on different areas covered by the number of the coordinates, and number faces that will be computed. Here our aim is to get the number faces in the image and not their features. The program begins with importing all the required libraries such as OpenCV which is mostly use for image processing, facial recognition and detection, then we import Dlib library which is used for detecting the coordinates of the facial structure of the face, and we also import Numpy library for a in the it’s a huge high-performance multidimensional array object and tools for working with these arrays. To count faces we capture frames continuously. We then use an iterator to get the coordinates of the facial structure in the frame and then each time a face is detected a box is being plotted around the face along with it’s face count.