Active project

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.

Involved organisations

Sogeti Nederland

Funded projects

More projects from Innovation Impact Challenges

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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.

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.

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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.

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.

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.

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.

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