Research Project

CONNEXIONs: detection, prediction, prevention, and investigation services

Services will be developed by integrating multidimensional and heterogeneous multimodal data and by delivering information in an interactive manner with AR MR VR

Where: international
Challenge
CONNEXIONs (InterCONnected NEXt-Generation Immersive IoT Platform of Crime and Terrorism DetectiON, PredictiON, InvestigatiON, and PreventiON Services) aims to develop and demonstrate next-generation detection, prediction, prevention, and investigation services.
Approach
These services will be based on multidimensional integration and correlation of heterogeneous multimodal data, and delivery of pertinent information to various stakeholders in an interactive manner tailored to their needs, through augmented and virtual reality environments. CONNEXIONs solution encompasses the entire lifecycle of law enforcement operations including: - Pre-occurrence crime prediction and prevention - During-occurrence LEA operations - Post-occurrence investigation, and crime-scene simulation and 3D reconstruction.
Digital Ecosystem
Solution
Digital Ecosystem
CONNEXIONs has been conceived as an integrated solution that significantly improves LEAs' capability to gather intelligence, analyse, engage, and investigate crime and terrorism effectively and efficiently. The multimodal data sources include Surface/Deep/Dark Web and social media content, as well as data acquired by Internet of Things (IoT) devices (e.g., wearable and fixed sensors, static, mobile, body-worn, or drone-carried cameras). Real-time services will benefit from: - advanced operation command and management solutions, integrated with IoT devices and sensors - from multimodal multimedia data fusion and analysis - computer vision and deep learning (face identification, suspicious object recognition, and abnormal activity detection)
Results

Improvement of the displacement of the field officer

Reduction of the time to display alert (AR)

3D model reconstruction accuracy

Text translation, automatic speech recognition

Technologies

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