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In visual inspection, we at the Fraunhofer IPT use deep learning to localise and classify defects on components on image material. Visual inspection can take place in difficult environments that require a mobile solution to support the visual inspectors. The aim of the work is to develop an application on smart devices (smartphone, tablet, smart glass) for defect and object detection in visual inspection.

Your tasks

  • Familiarisation with the state of the art of visual inspection and worker support
  • Development of an application for visual inspection support based on object recognition
  • Integration of the application into the existing infrastructure
  • Evaluation and documentation of the results

Our requirements

  • You are studying engineering, computer science or a comparable subject
  • You have initial experience in the field of app development
  • A high degree of initiative and team spirit
  • Very good language skills in English and/or German

Your benefits

  • Participation in a current research project
  • Excellent equipment and infrastructure (cloud platform VFK and computing cluster)
  • Collaboration in a dedicated team consisting of engineers, data scientists and software developers

We look forward to receiving your application
Hendrik Mende, M.Sc.
Fraunhofer Institute for Production Technology IPT
Steinbachstraße 17, 52074 Aachen, Germany
hendrik.mende@ipt.fraunhofer.de

Um sich für diesen Job zu bewerben, sende deine Unterlagen per E-Mail an hendrik.mende@ipt.fraunhofer.de