Law Enforcement Companion

Identifying absconding criminals after committing an offence or illegal act is a time consuming and tedious task. Seeing the current growing population density and considering the vastness of the land area any country has, it is very difficult for law enforcement agencies alone to do this task. So public involvement becomes extremely significant, game-changer and helpful. According to many reports, finding lawbreakers by causing different individuals from the office to sit with PCs and PCs to look through the CCTV film to find and follow the blameworthy, as they don't have the robotized framework for doing this errand with them. This cycle is both times and works seriously. In this paper, we have attempted to review the current advancements as well as propose another framework for criminal Distinguishing & Recognition using Deep learning and Heroku Cloud i.e Cloud Computing, which assuming utilized by our Crime control Organizations would assist them with tracking down crooks from the pictures of CCTV or images uploaded by the public if seen anywhere. This system if implemented helps find criminals as well as any person can upload the information that he has seen the required person in a particular place and time. Existing arrangements utilize conventional face acknowledgement calculations which can be problematic in changing Indian conditions, particularly factors like light, climate and particular direction and there is no open public contribution. All the workload and pressure will be upon the Law Enforcing Agencies only. This research paper proposes to use Deep Learning and the Heroku Cloud systems for the implementation of the proposed system.