Bridging the Gap: Expert and AI Collaboration for Improved Anomaly Detection in Small Batch Production

Research unit

INNOSUISSE

Project number

115.707 IP-ICT

Project title

Bridging the Gap: Expert and AI Collaboration for Improved Anomaly Detection in Small Batch Production

Texts for this project

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Key words	-	-	-
Abstract	-	-	-

Category	Text
Key words (English)	ICT, Machine learning
Abstract (English)	Our project aims to enhance quality control in biopharma small batch production under conditions of data scarcity. By integrating Foundation Models, Hardware-in-the-Loop, and Human-in-the-Loop approaches, this innovative solution addresses fault detection and diagnosis challenges, and reduces waste.