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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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.
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.
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.
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.
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.
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.