An Incident Management System for the Police Force

In our modern era, where advancement in healthcare and technology have greatly contributed to the increase in the world population, the resilience of police Incident Management Systems, especially traditional ones, is being questioned. This is especially relevant as incident rates rise as a direct consequence of population growth. In this context, factors such as prioritization, response time and optimum use of already scarce resources at disposal of police forces become critical. While some of these aspects are already being addressed to some extent, this paper leverages technologies such as Robotic Process Automation (RPA), Geographic Information Systems (GIS) as well as Business Intelligence (BI) for visualization and Artificial Intelligence (AI) for prioritization to assist in Incident Management and Response. The aim of this paper is to critically analyze several existing incident management systems and propose a system prototype that uses a centralized database to cater everything from incident reporting from the citizen’s perspective to its resolution across several actors. The system was evaluated through a survey targeted at Mauritian citizens. The paper concludes by presenting feedback on the system prototype and pave the way for future works. The feedback gathered highlights the public’s enthusiasm for the  implementation of such intelligent technologies, with many believing it would  significantly enhance their incident reporting experience.