
Syntegon Technology recently installed the fully validated visual inspection system utilizing artificial intelligence (AI) in an automated inspection machine. The installation constitutes a major step in the company’s sustained effort to introduce AI to pharmaceutical visual inspection, thereby exploring largely uncharted territory in the industry. “We are proud to announce this important move, which is the joint result of long-standing visual inspection expertise, solid software and pharmaceutical validation competence, courage to cross boundaries, and an excellent partnership with our customer,” says Dr José Zanardi, responsible for vision inspection development and applications at Syntegon. The benefits of deep learning As one of the most challenging stages in the pharmaceutical manufacturing process, inspection requires ever more sophisticated visual systems to process increasingly complex products. “Especially for high-cost pharmaceuticals, every single false reject is one too many,” Zanardi says. AI applications have the potential of further increasing detection rates and decreasing the number of false rejects in difficult products like highly viscous parenteral solutions with air bubbles, which are sometimes hard to differentiate from harmful particles. AI utilizes…
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