Under CopyrightStein, DanielDanielSteinKrausz, BarbaraBarbaraKrauszLöffler, JobstJobstLöfflerMarterer, RobinRobinMartererBardeli, RolfRolfBardeliSchwenninger, JochenJochenSchwenningerUsabaev, BelaBelaUsabaev2022-03-1217.1.20132012https://publica.fraunhofer.de/handle/publica/37753910.24406/publica-fhg-377539Event recognition systems have high potential to support crisis anagement and emergency response. Given the vast amount of possible input channels, automatic processing of raw data is crucial. In this paper, we describe several components integrated in an overall intelligent resource anagement system, namely abnormal event detection in audio and video material, as well as automatic speech recognition within a public safety network. We elaborate on the challenges expected from real life data and the solutions that we applied. The overall system, based on Event-Driven Service-Oriented Architecture, has been implemented and partly integrated into the end users infrastructures. The system is continuously running since almost two years, collecting data for research purposes.en, event-driven service-oriented architecture, IRMabnormal event detectionautomatic speech recognitionTETRA channelevent-driven service-oriented architectureevent recognition system005006629conference paper