Umlaut

Object recognition for automotive applications

Über Umlaut

Branche:

Automotive & Mobility, Aerospace & Defense, Telecommunication, Energy & Utilities, 
Rail & Logistics, Health & Life Science, Machinery, Public Sector 


Mitarbeiterzahl:
5.000

Umsatz:

Ca. 342Mio. € / Jahr


Hauptsitz:
Aachen

Über Umlaut

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Who is umlaut? Umlaut, part of Accenture, is a global, full-service, cross-industry, end-to-end company that offers advisory and fulfilment services to clients all over the world. Our interdisciplinary capabilities enable us to add value, quality and focus to their organisations and produce. We are an able and agile group of consultancies and engineering firms. 4,200 specialised experts and engineers provide innovative solutions across all industries and their various intersections as well as serving the public sector and developing organisational cultures, structures and processes.

Der Workshop

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We offer insight into the fascinating world of testing, specification and automatization of electrics and electronics for the leading OEMs and suppliers of the automotive industry.


Within the workshop we will give a brief introduction to different machine learning methods and their application for object recognition via neural networks. This theoretical part is followed by a practical session in which the participants are given the opportunity to develop their own simple object recognition algorithms in Python. Starting from these practical impressions the students will be guided through implementing more advanced object detection algorithms with the goal to develop an automotive application: A pedestrian warning function. 

Prerequisites: Knowledge of Python is beneficial but not mandatory.


It can be held in English or German, depending on the participating students. Computers and Equipment are provided by umlaut.


Your benefits:

  • Applying theoretical knowledge to a practical purpose 
  • Insight into up-to-date technology of the automotive industry 
  • Meeting a great team

Workshop-Details

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Termin: 17.05.2022 von 13:00-17:00 Uhr

Dresscode: Casual

Sprache: Deutsch/Englisch

Networking: Get-Together

Gewünschte Studiengänge

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  • Bachelor: Elektrotechnik und Informationstechnik, Fahrzeugtechnik, Ingenieurinformatik, Maschinenbau, Mechatronik, Medientechnologie, Optische Systemtechnik/Optronik, Informatik, Mathematik, Technische Physik, Angewandte Medien-und Kommunikationswissenschaft, Medienwirtschaft, Wirtschaftsinformatik, Wirtschaftsingenieurwesen
  • Master: Communication and Signal Processing, Electrical Power and Control Engineering, Elektrotechnik und Informationstechnik, Fahrzeugtechnik, Ingenieurinformatik, Maschinenbau, Mechatronik, Medientechnologie, Optische Systemtechnik/Optronik, Research in Computer and Systems Engineering, Informatik, Mathematik, Mathematik und Wirtschaftsmathematik, Technische Physik, Medien-und Kommunikationswissenschaft, Medienwirtschaft, Wirtschaftsinformatik, Wirtschaftsingenieurwesen

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