TROUT GmbH is a business enterprise specializing in information technology and systems engineering. TROUT has amassed a comprehensive fund of know-how and expertise during many years of project work in the areas of aerospace, automotive technology and medical technology. You will find more about our current activities on Facebook and Google Business.
Vehicle Data Analyzing System (VeDAS) – a first step towards the planning and preparation of demand-oriented maintenance. The use of vehicles in challenging tasks and scenarios, such as navigating rugged terrain, can result in various issues. One of these issues pertains to overloading the vehicle beyond its specified limits. Challenges also arise in the detection […]
The software developed to support reading fluency aims to increase the reading speed of students by hiding the displayed syllables and words in line with the subject’s current reading speed. The development took place on the initiative of and in cooperation with Prof. Dr. Andreas Mayer, LMU Munich, chair for speech therapy (speech therapy and […]
In connection with our VitaB project – determination of vital data – a bachelor’s thesis on the subject of ‘stress analysis in drivers using wavelet analysis’ was prepared at TROUT in cooperation with the Chair of Numerik und mathematische Modellbildung (Prof. Dr. Elfriede Friedmann) at the University of Kassel by Mr. Christoph Heidemann. The monitoring […]
There will be 100 days of MINT during the documenta in the FutureSpace at Wilhelmsstraße 2. Every day there is a special MINT offer from physics, technology, biology, mathematics, genetics, technology and astronomy. The FutureSpace is a model project in Kassel to encourage young people to strengthen their skills and talents. The current focus is […]
The ettc2022 is the important international platform for telemetry, test instrumentation, telecontrol and data processing and is taking place for the fifth time in parallel and in cooperation with the SENSOR+TEST in Nuremberg. More on Google Business. Martin Bussas gives a lecture about predictive maintenance with machine learning. Thursday, 12 May 2022 13:30 – 15:30: […]