Deep AR Law Enforcement Ecosystem

Projektinformationen

DARLENE

ID Finanzhilfevereinbarung: 883297

DOI 10.3030/883297

Projekt abgeschlossen

EK-Unterschriftsdatum 21 April 2020

Startdatum 1 September 2020

Enddatum 31 Dezember 2023

Finanziert unter

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

Gesamtkosten € 6 954 860,00

EU-Beitrag € 6 954 860,00

Koordiniert durch

ETHNIKO KENTRO EREVNAS KAI TECHNOLOGIKIS ANAPTYXIS
Greece

Leistungen

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 (1)

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

Veröffentlichungen

Peer reviewed articles (5)

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

Autoren: Konstantinos C. Apostolakis; Nikolaos Dimitriou; George Margetis; Stavroula Ntoa; Dimitrios Tzovaras; Constantine Stephanidis; Constantine Stephanidis
Veröffentlicht in: Open Research Europe, Ausgabe 1, 2022, ISSN 2732-5121
Herausgeber: 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

Autoren: Konstantinos Tzevelekakis; Zinovia Stefanidi; George Margetis
Veröffentlicht in: Sensors (Basel, Switzerland), Ausgabe 1, 2021, Seite(n) 7802, ISSN 1424-8220
Herausgeber: 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

Autoren: Katherine Quezada Tavárez
Veröffentlicht in: International Review of Penal Law, 2021, Seite(n) 69-86, ISSN 0223-5404
Herausgeber: Eres Publishers

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

Autoren: Z. Stefanidi, G. Margetis, S. Ntoa and G. Papagiannakis
Veröffentlicht in: IEEE Access, Ausgabe 10, 2022, Seite(n) 23367-23393, ISSN 2169-3536
Herausgeber: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/access.2022.3152743

Untangling the cyber norm to protect critical infrastructures

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

Conference proceedings (7)

Real-Time Activity Recognition for Surveillance Applications on Edge Devices

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

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

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

The DARLENE XR platform for intelligent surveillance applications

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

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

Autoren: Ioannis Pastaltzidi, Nikolaos Dimitriou, Dimitrios Tzovaras, Katherine Quezada-Tavarez, Stergios Aidinlis, Thomas Marquenie, Agata Gurzawska
Veröffentlicht in: FAccT ‘22: 2022 ACM Conference on Fairness, Accountability, and Transparency, 2022
Herausgeber: 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

Autoren: Savvas I. Raptis, Iason Karakostas, Nikolaos Dimitriou, Dimitrios Tzovaras
Veröffentlicht in: 9th IEEE WF-IoT, 2023
Herausgeber: 9th IEEE WF-IoT

Augmentation based on artificial occlusions for resilient instance segmentation

Autoren: Nikolaos Kilis, Grigorios Tsipouridis, Iason Karakostas, Nikolaos Dimitriou, Dimitrios Tzovaras
Veröffentlicht in: ICIAP2023, 2023, ISBN 978-3-031-43153-1
Herausgeber: ICIAP2023

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

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

Book chapters (1)

Data Protection Impact Assessments in Law Enforcement

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