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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.

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Thinksharp

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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.

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.

Multifunctioneel AR-systeem voor Real-time Visuele herkenning

The system uses AR glasses with built-in cameras and powerful AI to automatically recognise number plates, vehicles and personal characteristics from the officer's field of vision. This makes the system particularly well suited for use within the TBB, TBP and forensic investigation domains. Officers can also use the system for operational tasks on the street, where real-time recognition adds crucial operational value. Information is projected directly into the glasses, allowing officers to work hands-free. The system is controlled through subtle hand and eye movements or app integrations, enabling rapid recognition and decision-making during surveillance, incidents and traffic checks — all while maintaining continuous situational awareness.

Handsfree Intelligence: De Mixed Reality Gedachtenkamer voor de Tactische Recherche

An AI-driven Mixed Reality application that supports tactical detectives in real time with investigation, scenario thinking and administrative tasks at a crime scene. The application combines MR and artificial intelligence, giving investigators a "thinking room" where they can visualise, mark and analyse evidence. This reduces the administrative burden and improves the quality and speed of investigative processes, contributing to more efficient law enforcement.

TactiCall

TactiCall is an immersive video calling solution that supports the police in their daily and operational work. Using augmented reality and information overlays, officers on the street can communicate live with the control room and specialists. This allows crucial information to be shared faster and visually. It cuts response times, makes expertise available anywhere, increases safety and improves collaboration between disciplines. TactiCall also offers opportunities for training and evaluation by reliving realistic situations in VR/AR. The feasibility study examines the technical and organisational conditions needed for widespread deployment of TactiCall within the Netherlands Police.

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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