Since there has been a rising number of anti-social activities recently, security has become increasingly important. In this article, we create and implement a software for identifying criminals. This means that the same has to be automated. To help with the quicker determination that the odd activity is abnormal, it is also necessary to indicate which frame and what portion of those contains the unpredicted activity. In order to accomplish this, video is divided into frames, and each processed frame’s people and activities are examined. Machine learning techniques and algorithms help us to make a wide range of things possible. Strong and effective security systems are very essential in today’s world, as crime rates are skyrocketing using state-of-the-art face recognition algorithms and technologies, the system is able to precisely identify and locate human faces in a variety of dynamic environments, including subjects, locations, positions, noise levels, and lighting, all of which are frequently seen in surveillance footage.