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Deep AR Law Enforcement Ecosystem

Project description

Augmented reality to help law enforcement agencies fight crime

When fighting crime, law enforcement agencies (LEAs) are required to respond and make decisions in a very short period of time. With this in mind, the EU-funded DARLENE project aims to offer European LEAs a proactive security solution that will enable them to sort through massive volumes of data to predict, anticipate and prevent criminal activities. To achieve this, the project will combine augmented reality (AR) capabilities with powerful machine learning algorithms, sensor information fusion techniques, 3D reconstruction, wearable technology and personalised context-aware recommendations. It will therefore develop practical and beneficial policing applications through the use of affordable, lightweight and inconspicuous AR glasses. The project’s results will contribute to LEAs' efforts to reduce and prevent crime.

Objective

DARLENE aims to investigate means by which AR can be deployed in real time to aid in LEA decision-making by employing AR capabilities and combining them with powerful ML algorithms, sensor information fusion techniques, 3D reconstruction, wearable technology and personalized context-aware recommendations. Hence DARLENE will offer European LEAs a proactive security solution which will provide an IoT level of Situational Awareness, detection and recognition, combining cutting edge technology and public security in all security verticals.
It will enable LEAs to reduce and prevent crime, and to more quickly respond to crimes already in progress, by enabling them to sort through massive volumes of data to predict, anticipate and prevent criminal activities, make better informed tactical decisions and provide enhanced protection services for European citizens. DARLENE will therefore develop practical and beneficial policing applications through the use of affordable, light-weight and inconspicuous AR glasses. Such applications will capitalize on cutting edge research that will combine with AR Technology to create innovative methods for combating crime and even terrorist acts.
To align technology development with actual security needs and requirements, DARLENE will build a community of LEAs organization and security stakeholders that will guide the development process and evaluate the entire DARLENE ecosystem. In this regard, DARLENE foresees extensive demonstration and training activities for LEAs while the entire solution will be demonstrated and validated in realistic scenarios during the pilot phase of the project, thus paving the way to its field deployment and commercial uptake.

Fields of science (EuroSciVoc)

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Keywords

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Programme(s)

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Topic(s)

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Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

RIA - Research and Innovation action

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) H2020-SU-SEC-2018-2019-2020

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Coordinator

ETHNIKO KENTRO EREVNAS KAI TECHNOLOGIKIS ANAPTYXIS
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 1 297 000,00
Address
CHARILAOU THERMI ROAD 6 KM
57 001 THERMI THESSALONIKI
Greece

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Region
Βόρεια Ελλάδα Κεντρική Μακεδονία Θεσσαλονίκη
Activity type
Research Organisations
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Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 1 297 000,00

Participants (16)

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