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.
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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.
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.
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.
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.
SIMplify-XR, een AI-gestuurde VR-trainingsomgeving
Improvive wants to help the Netherlands Police create training scenarios more quickly for approaching suspicious individuals at large-scale events. This should result in a training in VR or Mixed Reality. Until now, 3D environments and scenarios have been designed by specialists. Improvive wants to simplify this with an AI-driven design assistant, combined with existing digital tools. The AI assistant guides the creator step by step through designing a training. This way, the police can build scenarios that match real-world situations simply and independently.
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.