Motion Data Intelligence | From Data to Value
People, products and machines are
on the move
and increasingly
wirelessly connected
. This enormous dynamic offers new opportunities for business and society. With
Motion Data Intelligence
we make the movement of things measurable, link them reliably, develop algorithms for
meaningful analyses
and thus increase added value and efficiency.

As an independent research institute, Salzburg Research offers know-how and
sustainable solutions
for complex challenges in the
Internet of Things
. We are a think tank for innovative companies from a wide range of industries and the public sector – internationally oriented and committed to the region.

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Broadband Monitoring: Comprehensive Performance Analyis for Communication Networks

Salzburg Research systematically and continuously recorded the broadband availability in a federal state and created a neutral, provider-independent database for evaluating mobile broadband availability.

»

Does the Software Keep what it Promises? Independent Stress Test for Complex Requirements

Decision support before purchasing new software: Realistic simulation and measurement of how the software copes with the expected load and what effects the application has on the network infrastructure.

»

Survey in the Mobile Environment with the Mobile Diary App

Carrying out unobserved surveys is an important prerequisite for the user-centered development of innovations. In order to be able to carry out reliable individual investigations in the field, Salzburg Research developed a “Mobile Diary” software framework with partners.

»

System-Related Data Strategy for Optimized Production and Maintenance Processes

Data strategy for the collection and use of system-related data with a focus on operating and maintenance processes: planning measures in advance, making better use of capacities, ensuring stable production processes.

»

Better learning with body gestures

If learning is combined simultaneously with movements, learning success demonstrably increases. Salzburg Research developed a method to test the correct performance of gesture-assisted learning automatically and without special hardware.

»

Telecom diagnostics data for the efficient operation of electrical distribution networks

Salzburg Research opened up the potential of telecom diagnostics data for fault diagnostics in the low-voltage grid for an electricity distribution grid operator: with the help of machine learning, the cause of approx. 70 percent of low-voltage grid faults can be automatically detected without additional hardware.

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How to find us
Salzburg Research Forschungsgesellschaft
Jakob Haringer Straße 5/3
5020 Salzburg, Austria