Face detection is a computer vision task to detect the faces in an image or video and return the location of the face. The application localizes the faces by drawing a bounding box around the individual faces. Detecting faces in an image or a video is not easy for humans at every single frame, It gets complex as the requirement for identification and other details are demanded, given the dynamic nature of faces. For example, faces must be detected regardless of orientation or angle they are facing, light levels, clothing, accessories, hair color, facial hair, makeup, age, and so on.

During this Covid 19 pandemic, life has its own challenges. The ability to detect a person’s face and maintain discipline is absolutely challenging. The Face detection system can be used as a backbone for a face recognition system to detect and identify the person. It is used to detect faces in real time for surveillance and tracking of persons or objects. It is widely used in cameras to identify multiple appearances in the frame. Not only this can be extended to even search for a person in a crowd with location, date and time. This detection is a key factor for doing any further facial analysis when combined with other algorithms.