Proposed System for Criminal Detection and Recognition on CCTV Data Using Cloud and Machine Learning

Finding criminals or hunting for people, in a CCTV video footage, after a crime scene or major attack takes place, is a time consuming task. As informed to us by cyber cell members of Goa branch, they make multiple members of the department sit with laptops and computers literally to search through the CCTV footage to find and trace the guilty, as they don't have the automated system for doing this task with them. This process is both time and labor intensive. In this research paper we have tried to survey the existing technologies as well as we propose a new system for criminal Detection & Recognition using Cloud Computing and Machine Learning, which if used by our Crime Agencies would definitely help them to find criminals from CCTV footage. The proposed system can not only help find criminals but if used properly on different sites such as railway stations etc, can also help find missing children and people from the CCTV footage available from the respective site. Existing solutions use traditional face recognition algorithms which can be troublesome in changing Indian environments especially factors like light, weather and especially orientation. Some CCTV are in a bad place and can get tilted resulting in a wild increase in inaccuracy. This research paper proposes to use Microsoft Azure Cognitive services and Cloud system for implementation of the proposed system [21]. The next phase this research will try to compare this proposed methodology with traditional techniques like HAAR cascade to judge performance of the proposed System, as it is important to have a high accuracy, for a project of this sensitivity.