DARLENE

DARLENE (Deep AR Law Enforcement Ecosystem)

Timeline

1/09/2020 – 31/08/2023 (36 months)

Budget

€6.954.860

Objective

The DARLENE project aims to explore the ways in which Augmented Reality (AR) can be used in real-time to aid Law Enforcement decision-making processes by combining technologies, Machine Learning algorithms, sensor information fusion techniques, 3D reconstruction, wearable technology, etc.

Therefore, this project will provide Law Enforcement with a proactive security solution that will enable situational awareness using the Internet of Things (IoT), detection and identification, combining the latest technologies and public safety in all its sectors. At the same time the project will help Law Enforcement to reduce and prevent crime, and to respond more quickly to crimes already in progress, by facilitating the use of huge volumes of data to predict and prevent criminal activities, receive better, evidence-based regular decisions, and provide improved protection services to citizens.

Therefore, the DARLENE project will develop practical and useful policing applications through the use of Augmented Reality glasses that are affordable, light in weight and discreet. This approach will utilize the results of in-depth research combined with AI technology, with the aim of creating innovative methods to fight crime and even terrorist acts.

To ensure that technology development meets real-world security needs and requirements, the DARLENE project involves a team of Law Enforcement agencies and other security-related stakeholders to guide the technology development process and will evaluate the results of the DARLENE project. As such, the DARLENE project foresees extensive demonstration and training activities for Law Enforcement, while the overall solution and technology will be demonstrated and validated using realistic scenarios during the pilot phase of the project.

More information about the project can be found at https://www.darleneproject.eu/

The project receives funding from the EU’s Horizon 2020 Research and Innovation Program (Agreement No. 883297)