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.
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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.
Police Rapid Environment & Scenario Platform
PREP is developing a system that allows police officers to create and run a realistic training or operational scenario in an immersive 3D environment within an hour. Using AI, realistic crowd simulations and up-to-date environmental data, officers can practise and evaluate quickly and effectively. It also allows them to prepare for a wide range of situations, such as events, incidents or large-scale operations. The project investigates the technical and operational feasibility of this rapid scenario generation, with the aim of making police work more agile, safer and better prepared.
Multifunctioneel AR-systeem voor Real-time Visuele herkenning
The system uses AR glasses with built-in cameras and powerful AI to automatically recognise number plates, vehicles and personal characteristics from the officer's field of vision. This makes the system particularly well suited for use within the TBB, TBP and forensic investigation domains. Officers can also use the system for operational tasks on the street, where real-time recognition adds crucial operational value. Information is projected directly into the glasses, allowing officers to work hands-free. The system is controlled through subtle hand and eye movements or app integrations, enabling rapid recognition and decision-making during surveillance, incidents and traffic checks — all while maintaining continuous situational awareness.
Virtuele War Room voor Wendbaar Politieoptreden
The Virtual War Room enables police teams to prepare for unexpected situations within a matter of hours. Using up-to-date 3D area data, colleagues work together to build a realistic tactical situation map, explore scenarios and train directly in VR or Mixed Reality, even from different locations. This feasibility study identifies the workflow needed to let operational staff create and use scenarios independently, taking into account the relevant conditions for responsible and safe use within the Netherlands Police context.
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.
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.