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Innovation / research and pilots

Video analytics, 3D and automation.

We test technologies against your task: event recognition, 3D configuration and data processing. Every pilot has a defined scenario, input material and outcome criterion.

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Video analytics / beta

SKPP: video-stream analysis

SKPP analyses video streams for staff activity reports. The FRiO-supported project is undergoing beta testing.

Testing requires video samples, an event list and report requirements. Capabilities and acceptable errors are established under real recording conditions.

Applied product

Other research areas

3D and automation

01

3D configurators

Configure an object or space: select elements, place them, compare options and submit the chosen version.

02

Task automation

Data transfer, reconciliation and documents. We define which actions are automated and which require staff confirmation.

Pilot scope

  1. 01

    Criterion

    A testable question and acceptable errors.

  2. 02

    Inputs

    Data quality, formats and access conditions.

  3. 03

    Prototype

    One scenario, exceptions and human involvement.

  4. 04

    Conclusion

    Results, limitations and an implementation decision.

Implementation

From a pilot to an operational service

After a pilot, we hand over the prototype, results and limitations. Implementation of the validated workflow is agreed as a separate phase.

  • ProductRoles, operational interfaces and accounting connections.
  • LaunchInfrastructure, testing with users and instructions.
  • Further releasesSupport terms and the next-release plan.
Service development

Questions

Pilot questions

Can we start before the data is collected?

Yes, with a source assessment. We first define the required materials, format and collection method. The pilot itself requires an agreed dataset on which the hypothesis can be tested.

How do we assess the result in advance?

Before testing, we agree on an observable criterion: successful scenario completion, acceptable errors or whether staff can use the result. We do not promise universal accuracy without your data and operating conditions.

What if the hypothesis is not confirmed?

We document why the approach does not suit the tested conditions. Together, we decide whether changing the data or scenario is worthwhile. Completing a pilot with a clear conclusion is an anticipated outcome.

Which task should we test?

Describe the expected outcome and the material already available.

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