SPOT - Simultaan Plaats Onderzoek Tool
CoVince Innovations B.V.'s solution turns simple video recordings into collaborative 3D environments. This lets multiple experts visit crime scenes simultaneously within two hours, from any location.
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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.
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.
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.
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.
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.
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.