PROJECTS AND RESEARCH

Some of the products developed under commission and some of research projects we have carried out in the field of outdoor sports.

HI-FIS - WEARABLE ATHLETE TRACKING DEVICE AND APP

Designed, developed and distributed in several ski areas in Italy, our product HI-FIS is a system of wearables, sensors and digital devices that allows skiers to monitor their performance, record data and create personal profiles. HI-FIS provides access to customized, fully supported systems for high-resolution multimedia integration of data collected by wearable sensors. HI-FIS offers a complete “take with you and share performance” through video analysis.

SALEWA MOBILE APP AND WEB SERVICE

We developed the SALEWA App for Android and iOS. The app was created, designed and developed in the heart of the Dolomites by working with alpinists, climbers and mountain guides to offer a set of indispensable functions for those who live in the mountains. Our system combines GPS data from the device with cartographic data through server-side data normalization algorithms. This has made it possible for us to create an accurate survey of itineraries and routes and to offer, in this way, a reliable tool for those who carry out activities in the mountains.

DOLOMITI SUPER SKI MOBILE PASS CONCEPT

In 2016, during the Disrupting the ski pass days, organized by IDM Südtirol and Dolomiti Superski, we won the first prize

EXPERTISES

We develop integrated systems and tools for data collection, for their analysis and for the elaboration of descriptive statistics and mathematical models. In our growth process, we have moved from the world of research to that of enterprise and we have refined our experience in prototyping hardware tools for the collection of video data and wearable sensors, with particular attention to the privacy aspect. We specialized in the development of full stack digital platforms, starting from mobile interfaces (iOS and Android), in the construction of databases and in the collection of data with environmental variables. Moreover, thanks to our partnership with FBK, we have experimented and developed algorithms for the analysis of complex data.

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