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DISTRAL: Industrial Process Monitoring for Injection Molding with Distributed Transfer Learning

Description

We develop a distributed machine learning system to sort out defect plastic parts during production. Main challenge is the transferability of learnt process know-how from case to case; the solution builds on domain adaptation, continual data-centric deep learning and federated edge computing.

Key Data

Deputy Projectlead

Project team

Dr. Ahmed Abdulkadir, Paul-Philipp Luley, Simone Jana Schwizer, Damian Wildmann, Peng Yan

Project status

completed, 10/2022 - 09/2024

Funding partner

Innovationsprojekt / Projekt Nr. 62174.1 IP-ENG

Project budget

1'170'000 CHF