Project seminar: Anomaly Detection in Battery Cell Production (in German)

Overview

To optimize battery cell production, it is important to detect defects early on in the production process. The aim of this project seminar is to develop a pipeline that receives images from an early stage of battery cell production and classifies whether anomalies can be seen. The pipeline should have a modular structure such that it can be easily adapted to other steps or classification tasks in the production process. The exact specifications will be developed and implemented in the course of the project seminar. The Fraunhofer Research Institution for Battery Cell Production (FFB) Münster is acting as a stakeholder.

This project seminar will be held in German.

For more information, please register in the corresponding Learnweb course.

Requirements

• Python as a programming language
• Basic knowledge in machine learning methods is an advantage but not essential
  • Part of the project seminar to research fitting methods for the given problems

Meetings

• Bi-weekly status meetings with the FFB (online)
• Intermediate presentation around beginning of Juni, final presentation around end of July
• Report around end of August