Enabling Real Time Crime Intelligence Using Mobile GIS and Prediction Methods

A crime investigation is an official effort to uncover information about a crime. In recent years the number of crime cases has been on a rise. The traditional and age-old system of intelligence and criminal record maintenance has failed to live up to the requirements of the existing crime scenario. In this paper we propose a swift response system which can identify the most probable local suspects involved in a crime case, by analyzing the relevant case histories. We have looked into the mobile call detail records of suspects and victims to understand their presence in crime scenario. Records of Cell tower near crime scene have been analyzed to track the real perpetrators. With the knowledge of suspect's journey to crime and about the movements of people in the crime scene, we are able to model the system and to understand the probable suspects involved in the crime. Prediction techniques are used to filter and identify the different types of people present at the crime scene. To solve the case at a rapid pace, we have mapped the current location of the probable suspects using Mobile GIS. We have also evaluated the methods used in this system in comparison with traditional methods.