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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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.
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.
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.
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.
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.
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.