Detecting and Tracking Criminals in the Real World through an IoT-Based System

Sensors

Andrea Tundis¹  Max Mühlhäuser¹  Humayun Kaleem² 

[1] Department of Computer Science, Technische Universität Darmstadt, 64289 Darmstadt, Germany;Fraunhofer SIT, Institute for Secure Information Technology, 64295 Darmstadt, Germany;

关键词: IoT;    safety;    smart city;    simulation;    crime detection;    crime tracking;   

DOI  :  10.3390/s20133795

来源: DOAJ

【 摘 要 】

Criminals and related illegal activities represent problems that are neither trivial to predict nor easy to handle once they are identified. The Police Forces (PFs) typically base their strategies solely on their intra-communication, by neglecting the involvement of third parties, such as the citizens, in the investigation chain which results in a lack of timeliness among the occurrence of the criminal event, its identification, and intervention. In this regard, a system based on IoT social devices, for supporting the detection and tracking of criminals in the real world, is proposed. It aims to enable the communication and collaboration between citizens and PFs in the criminal investigation process by combining app-based technologies and embracing the advantages of an Edge-based architecture in terms of responsiveness, energy saving, local data computation, and distribution, along with information sharing. The proposed model as well as the algorithms, defined on the top of it, have been evaluated through a simulator for showing the logic of the system functioning, whereas the functionality of the app was assessed through a user study conducted upon a group of 30 users. Finally, the additional advantage in terms of intervention time was compared to statistical results.

【 授权许可】

Unknown