Scenebrook Haalbaarheidsonderzoek Interactieve XR-Trainingsscenario’s
The project explores whether Scenebrook can be extended with features that let the Netherlands Police develop VR training scenarios faster and more accurately. We're testing three things: automatically converting geo-data into realistic 3D environments, building complex, police-specific scenarios without requiring technical expertise, and measuring learning outcomes in VR. The aim is to determine whether this would allow the Netherlands Police to create realistic, up-to-date and easily adaptable training for situations that are difficult to practise physically.
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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.
SPOT - Simultaan Plaats Onderzoek Tool
CoVince Innovations B.V.'s solution turns simple video recordings into collaborative 3D environments. This lets multiple experts visit crime scenes simultaneously within two hours, from any location.
Polaris: Real-time Situational Intelligence voor het Politiewerk van de Toekomst
Polaris is a new platform that supports police officers with real-time information during deployment. The system brings together data from different sources, interprets it, and translates it into clear visual signals. These signals are then displayed on various devices, including desktops, mobile devices and, in particular, AR devices. This gives officers immediate insight into what's happening around them, such as changes in threat level or relevant control room information. Polaris helps officers act faster and more safely, reduces cognitive load, and makes it possible to deploy immersive technology responsibly and sustainably — not just in training, but in real operations too.
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.
Situational Awareness op elk moment, door iedereen
With Imagem NL B.V.'s innovation, users without specialist knowledge are able to independently create and explore a digital, photorealistic copy of a location. The location is based on up-to-date data such as drone footage, laser scans, 360° video, live feeds and administrative sources. Within this 3D virtual world, users can analyse, simulate and coordinate situations — think of line-of-fire and line-of-sight analysis, or working through 'what if' scenarios. This new information position enables them to create a realistic digital environment for preparation, coordination and action in both ad-hoc and planned situations. The result: faster decision-making, greater situational awareness, more efficient use of resources, and a safer working environment for officers on the street.