Multiple Face Detection and Attendance System Using OpenCV

Facial detection and recognition is an important field in computer vision, it attracts increasing interest because of the multiple applications that result from it. In this context, the strategies that supported machine learning that permits a machine to evolve through a learning method has been used, and it also perform tasks that area unit troublesome or not possible to fill a lot of standards algorithmic means that. Within the commencement, the face detection algorithmic program is employed to extract the faces from each video frames and to get the face information. Within the second step, filtering and preprocessing area unit applied to the face pictures obtained within the previous step. Within the third step, a set of machine learning algorithms area unit trained exploitation as input file the faces obtained within the previous step. Haarcascade classifier is employed each for choice, and for learning, that may be a sturdy classifier with a cascade classification. Finally, classified faces obtained from frames (test videos). The obtained result shows the suitableness of this system for analyzing immense assortment of video wherever previous face labels aren’t accessible.