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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Success Stories


Quick Wins and Future-Proof Innovations through a Digitization Strategy for the Operation and Maintenance of Technical Systems

Sustainable strategy for the digital transformation of the asset management, which also takes into account rapid technological innovations and further developments

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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.

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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.

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Assessment Of The Quality Of Cycling Infrastructures

For the targeted further expansion of the cycle paths in an Austrian state capital, Salzburg Research determined an objective data-based assessment in order to identify those areas with the greatest need for action.

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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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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.

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Events


Sep
12
2024
Rise of the Machines: Is AI Revolutionizing scientists’ work?
»
How to find us
Salzburg Research Forschungsgesellschaft
Jakob Haringer Straße 5/3
5020 Salzburg, Austria