109.421 IP-ENG

Statistical algorithm for continuous defect detection in the can seaming process

Textes supplémentaires

Abstract

Ferrum is the leading producer for can seaming machines. Ferrum, Kisman and FHNW aim for building the world's first seaming machine with continuous real-time process control capabilities. Process control based on machine-learning sorts out defective cans and KI is used to monitor the machine state.

Schlüsselwörter

Participants

Wirtschaftspartner

Kisman AG

Wirtschaftspartner

Ferrum Packaging AG

Wissenschaftliche Leitung

FHNW - Fachhochschule Nordwestschwe iz BL

Kontaktperson

Kisman AG

Détails du projet

Office de recherche: INNOSUISSE
Statut du projet: Abgeschlossen
Type de projet: Forschungsprojekt
Date de début: 2024-01-31
Date de fin: 2026-05-30
Coûts totaux approuvés: CHF 463652.40
Section: 70 Engineering
Domaine politique NABS: Industrielle Produktivität und Technologie

Disciplines de recherche

T190 Electrical engineering 100.0%