Bosch awards HTL Oscars”

Transparenz: Redaktionell erstellt und geprüft.
Veröffentlicht am und aktualisiert am

A total of 139 students from 22 HTL submitted 49 projects. Three of them received prizes.

Insgesamt 139 Schüler*innen aus 22 HTL reichten 49 Projekte ein. Drei davon wurden mit Preisen gekrönt.
A total of 139 students from 22 HTL submitted 49 projects. Three of them received prizes.

Bosch awards HTL Oscars”

With the “Technology for Life Award”, the Bosch Group in Austria has launched a now very well-established initiative that has been promoting young talents and supporting them as they start their professional lives for 15 years. This year's “HTL Oscar Night” took place on June 9th in the historic Bosch vehicle hall in Vienna Simmering. The winning projects of the 15th round of the Technology for Life Prize are a road traffic analysis tool, a fully automated slipper manufacturing system and a multifunctional digital classroom clock. This time, HTL student teams from Klagenfurt, Eisenstadt and Pinkafeld were able to take home the coveted trophies in the Mobility Solutions, Industrial Technology and Connected Living categories - and with them an Ixo cordless screwdriver from Bosch as well as an invitation to BehindTheScenes at a Bosch location in Austria for exclusive insights into the Bosch world.

“Technology for life stands for reliable, well-thought-out and innovative solutions that make our lives easier,” said Helmut Weinwurm, CEO of Robert Bosch AG and representative of the Bosch Group in Austria, at the award ceremony. The HTL students worked on their submissions for many months before they were finally judged by a prominent jury. The winning project in the field of mobility comes from LucaNeighbor and Stefan Pisjak from the HTL Mössingerstrasse in Klagenfurt. The two students developed a traffic analysis tool with a camera and artificial intelligence that recognizes the different types of vehicles in both free-flowing and stationary traffic and prepares the collected data for analysis. Using innovative algorithms and corresponding sensors, Commean can recognize a wide range of vehicle categories and can even distinguish truck trailers from vehicles that are closely packed together. This reliable evaluation can be used to direct or improve traffic flows in a targeted manner. “The diverse and demanding task was solved by just two students across disciplines at a respectable level,” said juror Bernhard Geringer, head of the Institute for Vehicle Drives & Automotive Technology at the Vienna University of Technology.