AI-based inspection systems are crucial in the pharmaceutical industry due to strict regulations and the need for traceability. Errors can result in severe health risks and significant financial losses.
The traditional system suffered from high error rates when detecting cracks, discoloration, and foreign objects, leading to pseudo-scrap and extensive manual re-sorting, increasing production costs and workload.
The AI-based system detects defects more flexibly and precisely, reduces errors by over 90%, eliminates unnecessary pseudo-scrap, and minimizes manual interventions.
High Pseudo-Scrap Rate: Misidentified defective products led to losses.
Reduced Pseudo-Scrap: Saved resources and production capacity.
Manual Effort: Staff had to inspect allegedly defective products.
Automated Control: Employees focus on value-added tasks.
Frequent Rule Adjustments: Continuous recalibrations increased maintenance.
Flexible System: AI adapts without constant rule adjustments.
Find out in detail how our customer increased its product quality and saved inspection costs at the same time by using an AI-based visual quality inspection.
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