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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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.
Training Sandbox
The Training Sandbox is a hybrid IX platform that lets operational police officers independently create, adapt and share realistic scenarios within hours. A web editor makes it possible to quickly recreate ad-hoc situations and large-scale events, while a Unity package gives in-house development teams room to customise and expand the platform. It supports real-time intervention, learning analytics and multi-user collaboration within a single simulation. Built on a privacy-conscious architecture and guided by public values, the Sandbox aims to strengthen officers' practical skills, professional competence and mental resilience, cutting turnaround time from weeks to hours.
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.
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.
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.
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.