While today nearly every industry is feeling the need to produce more efficiently and in shorter time spans, the pressure is especially high in the pharmaceutical industry.
The Covid-19 pandemic has shown every single one of us quite drastically the immense importance of rapid development, manufacturing, and distribution on new pharmaceutical products – all while maintaining the highest standards regarding product quality and safety.
How both these challenges can be targeted is presented by Guglielmo Iozzia on the example of the implementation of a Computer Vision System at MSD. Goal of the implementation of a Computer Based Vision System, based on AI and Machine Learning, for visual inspection is the reduction of false positives in the quality inspection as well as shortening the investigation time on false positive products drastically.
- From choosing the right partners and talents to the final roll-out in the manufacturing sites
- Overcoming lack or poor quality of images through generation of deep synthetic images to train a Computer Vision System
- Reducing costs and time spans through a computer-based visual inspection
- Tackling the challenges of rooting a system both in the cloud and on the edge
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