Journal of Cybersecurity and Information Management JCIM 2690-6775 2769-7851 10.54216/JCIM https://www.americaspg.com/journals/show/695 2019 2019 The Viola-Jones Face Detection Algorithm Analysis: A Survey Faculty of Computers and Artificial Intelligence, Beni-Suef University, Beni Suef City, 62511, Egypt Ahmed A. Elngar Teaching assistant, Department of Computer Science, Scientific Innovation Research Group (SIRG) member, Beni Suef University of Computers and Artificial Intelligence, Egypt Mohamed Arafa Under Graduated Student, Department of Computer Science, Scientific Innovation Research Group (SIRG) member, Beni Suef University of Computers and Artificial Intelligence, Egypt Abd El Rahman Ahmed Naeem Under Graduated Student, Department of Computer Science, Scientific Innovation Research Group (SIRG) member, Beni Suef University of Computers and Artificial Intelligence, Egypt Ahmed Rushdy Essa Under Graduated Student, Department of Computer Science, Scientific Innovation Research Group (SIRG) member, Beni Suef University of Computers and Artificial Intelligence, Egypt Zahra Ahmed shaaban   In this paper, we analysis the Viola-Jones algorithm, the most real-time face detection system has been used. It is consisting from three main concepts to enable a robust detection: the integral image for Haar feature computation, Adaboost for selecting feature and cascade to make resource allocation more efficient. Here we propose each stage starting from Integral image to the end with Cascading and some of algorithmic description for stages. The Viola-Jones algorithm gives multiple detections, a post-processing step which reduce detection redundancy using Adaboost and cascading.   2021 2021 85 95 10.54216/JCIM.060201 https://www.americaspg.com/articleinfo/2/show/695