Deep AR Law Enforcement Ecosystem

Informazioni relative al progetto

DARLENE

ID dell’accordo di sovvenzione: 883297

DOI 10.3030/883297

Progetto chiuso

Data della firma CE 21 Aprile 2020

Data di avvio 1 Settembre 2020

Data di completamento 31 Dicembre 2023

Finanziato da

• Secure societies - Protecting freedom and security of Europe and its citizens

Costo totale € 6 954 860,00

Contributo UE € 6 954 860,00

Coordinato da

ETHNIKO KENTRO EREVNAS KAI TECHNOLOGIKIS ANAPTYXIS
Greece

Risultati finali

Websites, patent fillings, videos etc. (1)

Project website and social networks

A first version of the project website will be launched before the end of M3 along with social network accounts which will be created and maintained active Both website and social network accounts will be constantly updated throughout the lifetime of the project

Other (2)

DARLENE platform handbook and tutorial content - 2nd version

This deliverable will consist of a printed manual and interactive application for both PC and mobile plat-forms, to be distributed to instructors, trainees and interested end-users. This will be the final version of the deliverable.

DARLENE platform handbook and tutorial content - 1st version

This deliverable will consist of a printed manual and interactive application for both PC and mobile platforms to be distributed to instructors trainees and interested endusers It will be updated in M25

Pubblicazioni

Peer reviewed articles (5)

DARLENE – Improving situational awareness of European law enforcement agents through a combination of augmented reality and artificial intelligence solutions

Autori: Konstantinos C. Apostolakis; Nikolaos Dimitriou; George Margetis; Stavroula Ntoa; Dimitrios Tzovaras; Constantine Stephanidis; Constantine Stephanidis
Pubblicato in: Open Research Europe, Numero 1, 2022, ISSN 2732-5121
Editore: Directorate-General for DG RTD
DOI: 10.12688/openreseurope.13715.1

Real-Time Stress Level Feedback from Raw Ecg Signals for Personalised, Context-Aware Applications Using Lightweight Convolutional Neural Network Architectures

Autori: Konstantinos Tzevelekakis; Zinovia Stefanidi; George Margetis
Pubblicato in: Sensors (Basel, Switzerland), Numero 1, 2021, Pagina/e 7802, ISSN 1424-8220
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s21237802

Augmented Reality in Law Enforcement from an EU Data Protection Law Perspective: The DARLENE Project as a Case Study

Autori: Katherine Quezada Tavárez
Pubblicato in: International Review of Penal Law, 2021, Pagina/e 69-86, ISSN 0223-5404
Editore: Eres Publishers

Real-Time Adaptation of Context-Aware Intelligent User Interfaces, for Enhanced Situational Awareness

Autori: Z. Stefanidi, G. Margetis, S. Ntoa and G. Papagiannakis
Pubblicato in: IEEE Access, Numero 10, 2022, Pagina/e 23367-23393, ISSN 2169-3536
Editore: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/access.2022.3152743

Untangling the cyber norm to protect critical infrastructures

Autori: Triantafyllos Kouloufakos
Pubblicato in: Computer Law & Security Review, 2023, ISSN 0267-3649
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.clsr.2023.105809

Conference proceedings (7)

Real-Time Activity Recognition for Surveillance Applications on Edge Devices

Autori: Vasilios Tsinikos, Ioannis Pastaltzidis, Iason Karakos Dimitriou, Dimitrios Tzovaras, Constantine Stephanidis, Katerina Valakou, George Margetis
Pubblicato in: PETRA '23: Proceedings of the 16th International Conference on PErvasive Technologies Related to Assistive Environments, 2023
Editore: PETRA
DOI: 10.1145/3594806.3594823

Responsible innovation in Multidisciplinary Research and Innovation Projects: Moving from Principle to Practice

Autori: Stergios Aidinlis, Agata Gurzawska
Pubblicato in: The ISPIM Innovation Conference – Innovating Our Common Future, 2021, ISBN 978-952-335-467-8
Editore: ProQuest

The DARLENE XR platform for intelligent surveillance applications

Autori: Christos Ntoumanopoulos, Efstathia Martinopoulou, Iason Karakostas, Nikolaos Dimitriou, Dimitrios Tzovaras
Pubblicato in: PETRA '23: Proceedings of the 16th International Conference on PErvasive Technologies Related to Assistive Environments, 2023
Editore: PETRA
DOI: 10.1145/3594806.3594821

Data augmentation for fairness-aware machine learning: Preventing algorithmic bias in law enforcement systems

Autori: Ioannis Pastaltzidi, Nikolaos Dimitriou, Dimitrios Tzovaras, Katherine Quezada-Tavarez, Stergios Aidinlis, Thomas Marquenie, Agata Gurzawska
Pubblicato in: FAccT ‘22: 2022 ACM Conference on Fairness, Accountability, and Transparency, 2022
Editore: FAccT ‘22: 2022 ACM Conference on Fairness, Accountability, and Transparency
DOI: 10.1145/3531146.3534644

Context Driven MEC Resource Allocation for Time-Critical AR Applications

Autori: Savvas I. Raptis, Iason Karakostas, Nikolaos Dimitriou, Dimitrios Tzovaras
Pubblicato in: 9th IEEE WF-IoT, 2023
Editore: 9th IEEE WF-IoT

Augmentation based on artificial occlusions for resilient instance segmentation

Autori: Nikolaos Kilis, Grigorios Tsipouridis, Iason Karakostas, Nikolaos Dimitriou, Dimitrios Tzovaras
Pubblicato in: ICIAP2023, 2023, ISBN 978-3-031-43153-1
Editore: ICIAP2023

Enabling X-ray vision via multi-camera fusion for AR applications

Autori: Pastaltzidis Ioannis, Karakostas Iason, Dimitriou Nikolaos, Tzovaras Dimitrios
Pubblicato in: 20th EuroXR International Conference - Rotterdam, Netherlands, 2023
Editore: VTT Technical Research Centre of Finland

Book chapters (1)

Data Protection Impact Assessments in Law Enforcement

Autori: Thomas Marquenie, Katherine Quezada-Tavárez
Pubblicato in: IEEE, Security Technologies and Social Implications, 2023, ISBN 9781119834168
Editore: Wiley-IEEE Press
DOI: 10.1002/9781119834175.ch2