AR Assistant
AR Assistant is an innovative application for AR glasses that police officers can use to visualise data sources as effectively as possible during their day-to-day operational work. With the AR Assistant, officers can respond quickly and effectively whenever needed. Simply by putting on a pair of AR glasses, officers are supported with notifications, alerts, predictive policing and number plate recognition. Safety on the streets and in public spaces is increasingly high on the agenda for the government, municipalities and public institutions, and the Netherlands Police play an essential role in this. The police need to keep pace and work more efficiently in order to keep tackling modern-day crime effectively.
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RapidScan, snelle en autonome AI-generatie van 3D-omgevingen
RapidScan is a tool for quickly creating realistic 3D simulations of real-world locations, generated from photos or videos of the site. Once a location has been captured, the resulting scenes can be viewed and used in a VR headset within minutes. RapidScan builds on earlier work by Leiden University with 3D Gaussian Splatting, which demonstrated that complex urban areas can be reproduced in remarkable detail. By focusing on speed and ease of use, the tool offers a practical way to explore or rehearse situations, opening up opportunities for the Netherlands Police, municipalities and others with an interest in simulating physical environments.
POLice Augmented Reality Intelligence System (POLARIS)
By applying Augmented Reality (AR) interfaces, Embedded Acoustics B.V. is enhancing the “situational awareness” of intervention units. The proposed solution combines a visual interface (AR glasses or helmet) with 3D audio. Information is projected onto the real environment both visually and audibly. Embedded Engineering develops robust interfaces of this kind, to date mainly for military applications. This work has shown how the right interface design can present information in a highly intuitive and effective way. Situational awareness increases significantly, while cognitive load is reduced. They are adapting the existing system to meet the requirements of relevant teams at the Netherlands Police.
Planning & Real-time IX Scenario Maker
PRISM is an AI-supported VR scenario builder that lets police officers with no technical background build and adapt realistic environments and scenarios. Using voice commands and simple building blocks, they can recreate past incidents and prepare for new situations, for example crowd control or threat scenarios. The tool drastically cuts the development time for XR training and makes it possible to share and reuse scenarios nationwide. In phase 1, the team is investigating the technical feasibility, user acceptance and economic viability of a proof of concept for this AI-driven IX scenario builder.
AI-Avatar
Police officers are constantly confronted with unexpected situations that require them to act quickly, provide assistance and gather information. Realistic training is essential for this, but it's expensive, time-consuming and hard to scale. With an AI avatar – a digital, human-like figure driven by artificial intelligence – officers can practise realistic scenarios using VR headsets. The avatar switches flexibly between roles such as suspect, witness, victim or colleague, responding naturally to the officer. This allows officers to train their communication, judgement and decision-making in a safe, true-to-life environment, making it easier, more efficient and more scalable to practise for unpredictable situations.
ASA (Augmented Situational Awareness assistent)
ASA is an augmented reality assistant that supports police officers with direct, contextual information in their field of view via AR glasses. Think visual markers for exits, colleagues, vehicles or danger zones, plus subtle warnings about people approaching from outside their line of sight. In situations involving smoke or poor visibility, ASA improves orientation through image processing. At the same time, officers can share live footage with the control room for better coordination. This feasibility study examines whether ASA is technically achievable, practical to deploy within the police organisation, and whether it helps officers on the street act more safely, quickly and with better information.
Simulation Operations
SIM-OPS is a large-scale VR training simulator for the Netherlands Police. The system combines AI-driven crowd simulation with photogrammetric environments, allowing officers to train realistically for scenarios such as demonstrations, riots and hostage situations. By intelligently integrating existing software wherever possible and adding its own innovations, SIM-OPS gives instructors the ability to create scenarios independently, without needing technical expertise. The consortium is investigating the feasibility of this approach, which drastically reduces the cost, complexity and turnaround time of traditional training while increasing its effectiveness.