Integrating the University of São Paulo Security Mobile App to the Electronic Monitoring System
João Eduardo Ferreira, José Antônio Visintin, Jun Okamoto, Mauro César Bernardes, Adriano Arantes Paterlini, Alexander Csoka Roque, Moises Ramalho Miguel · 2018
The University of São Paulo is the largest public university in Brasil, with 11 campuses where the campus in the city of São Paulo alone has an area of more than 3 million square meters. Security in the university is an issue that is being prioritized in the past years. A mobile app was introduced two years ago with which users in any campus can report security and maintenance events. Security events are monitored by the Campus Security Guard that has the capacity to dispatch agents immediately upon report of an event by the app. Last year an Electronic Monitoring System (EMS) composed of more than 300 cameras was deployed in the campus of the city of São Paulo together with analytics software that greatly enhances its functionality. Integrating the mobile app and the EMS is a great challenge that is being addressed in this paper. Here we present a description of both systems: the mobile application and the EMS. Then we present the Artificial Intelligence Surveillance system (AISUSP), which integrates both other systems using machine learning for automated scene analysis, an impossible task for human operators in an environment with more than 300 cameras. The ongoing result will lead to the prediction of emergency situations using a historical data base and making intelligent decisions related to the university's users safety.