Core Competencies

Innovation & Value Creation

Innovation & Value Creation

Value Creation: Added Value Through Innovation

Data-driven innovations are changing the economy and society. They help solve problems, increase efficiency and develop new products and services. The Internet of Things, low-cost sensor technology, the generation of “digital natives” and a sustainable lifestyle are important drivers of innovation. We use effective methods to examine operational success factors, added value and strategies for IoT-based innovations for companies in different market segments. We support companies in the analysis of innovation potential and the selection, implementation and evaluation of innovative projects and business models.

Technologies & Methods:

  • Potential analyzes and methodical support for innovation projects
  • Data-based product and service innovations
  • Network and platform based business models

Mobility & Transport Analytics

Mobility & Transport Analytics

Mobility & Transport Analytics: Optimized Mobility of People and Goods

Understanding which movements take place where and how is a key prerequisite for optimizing personal and goods mobility. Through intelligent analysis processes, multi-sensor fusion, map matching or routing for high-precision maps as well as real-time processing, analysis and interpretation of high-resolution driving trajectories, we open up the potential of movement data – for optimized fleet control, traffic control or evaluation of infrastructure measures.

Technologies & Methods:

  • Technologies for high-resolution movement data acquisition
  • Complex procedures for offline and real-time motion data analysis based on scalable data platforms
  • Interactive, web-based visualization of movement patterns (dashboards)

Human Motion Analytics

Human Motion Analytics

User-Centered Movement Data Analytics

Motion is an omnipresent aspect of our lives and an essential component of innovations in the areas of health, sports and fitness. We analyze motion data from a variety of data sources. Using methods from signal processing, statistics and machine learning, we evaluate data quality, identify movement patterns and develop models. This detailed knowledge about the quality of movement enables novel applications for users – to increase health, performance, safety or the enjoyment of movement.

Technologies & Methods:

  • Technologies for the collection of human movement
  • Data analysis and development of algorithms for the evaluation of human motion quality
  • Prototype development for measuring the effects of interventions
  • Secure and sustainable research data management

Intelligence Connectivity

Intelligent Connectivity

Intelligent Connectivity: Reliably Networked It all comes down to networking: The basis for the Internet of Things is a reliable, secure and increasingly wireless network. A wide variety of often mobile devices and components are networked and large volumes of data are exchanged quickly, securely and cost-effectively. We provide support for sophisticated applications in planning and development, management and monitoring through to analysis using modern data science methods. To ensure that data travels securely across the network and generates added value - trustworthy and reliable. Technologies & Methods:

  • Software-defined networking & virtualization of network functions
  • Modeling, measuring and monitoring of complex communication systems
  • Artificial intelligence for communication networks


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