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.
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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.
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.
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.
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.
CGI Indoor Explorer
CGI Indoor Explorer provides situational awareness during first responder operations by using IX to create a single, integrated, shared view of the situation in real time and in 3D. First responders are equipped with a 3D sensor that tracks their position and maps their surroundings. This view is monitored remotely in real time, offering value to the police and, by extension, to the Netherlands. CGI Indoor Explorer is being developed at CGI as an innovation project. This feasibility study examines the commercial potential of this innovation and its operational value for the Netherlands Police. The aim is to close the gap between innovation and actual deployment.
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.