We propose a computer-vision-based detection and recognition system which can be used in the banks to detect the anomalous activity of bank robbery. We propose CCTV based robbery detection along with tracking of thieves. We have used computer vision to detect theft and robbers in CCTV footage, without the use of sensors. This system concentrates on object detection. This detection of bank robbery is done based on detecting components, which are prohibited by using in the banks and are common in robbery, like handguns, a person wearing a helmet or a ski mask which comes under the object detection. Apart from these, recognition is done on the human postures like raising hands and kneel down which comes under the posture detection. The security official will be notified about the suspicious event by using Real-time analysis of the movement of any human from CCTV footage and thus gives a chance to avert the same, so that necessary action will be taken by the authority and prevent threat to bank as well as to the human life presents there.