Pharmaceuticals

Deploying hybrid AI to reduce inspection costs

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The white paper describes how one of Pleora's customers has benefited from the firm's AI Gateway product, which simplifies the deployment of machine learning to improve quality inspection. Working with existing hardware and software, the embedded platform integrates plug-in AI skills, a user-friendly approach to algorithm training, and powerful processing to support more advanced machine learning and computer vision algorithms.

MVTec’s Halcon software library includes a deep learning OCR tool with pre-trained fonts from a wide range of industries. Credit: MVTec

Code critical

Matthew Dale explores vision solutions for code reading and inspection in pharmaceutical production

Fighting crisis with machine vision

Czech firm Pekat Vision writes about quality control projects it has solved in pharmaceutical and food inspection, both key markets that need to be kept running during the Covid-19 pandemic

Pills packaged to perfection

Greg Blackman looks at where vision technology is used on pharma packaging lines, from blister pack inspection to track-and-trace

The drug discovery challenge and how imaging can help

Nate Holmes, product manager for machine vision and motion control at National Instruments, finds that sophisticated imaging systems are required for high-content screening used in drug discovery. Here, he reports from the Vision Summit at this year's NIWeek, which took place in Austin, Texas at the beginning of August

Fighting falsified medicines

Rachel Berkowitz discovers that, to comply with the EU Falsified Medicines Directive, pharmaceutical serialisation and authentication solutions have to be based on machine vision

Vision central to complying with Falsified Medicines Directive

Machine vision lies at the heart of pharma companies' efforts to comply with the 2011 EU Falsified Medicines Directive, says Ian Haynes, an associate of 3C Integrity, which provides serialisation solutions for the pharmaceutical industry. And, he says, time is short to build the manufacturing capabilities required and meet the 2017 deadline

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