Statistical algorithm for continuous defect detection in the can seaming process

Forschungsstelle

INNOSUISSE

Projektnummer

109.421 IP-ENG

Projekttitel

Statistical algorithm for continuous defect detection in the can seaming process

Projekttitel Englisch

Statistical algorithm for continuous defect detection in the can seaming process

Texte zu diesem Projekt

	Deutsch	Französisch	Italienisch	Englisch
Schlüsselwörter	-	-	-
Abstract		-	-	-

Kategorie	Text
Schlüsselwörter (Englisch)	Engineering, Electrical engineering
Abstract (Deutsch)	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.