The international technology group Körber focuses on the development of AI-driven visual quality control for the pharmaceutical industry. Therefore, Körber has teamed up with Silo AI, one of the largest private AI labs in Europe, to accelerate the development. Körber Digital is currently the largest company builder for manufacturing efficiency in Germany.
Changing traditional manufacturing, and turning to cloud technologies, edge computing and AI for more efficient and sustainable manufacturing operations
Körber wants to change the traditional manufacturing industry into digitally run operations utilizing cloud technologies and edge computing AI. The aim is to turn manufacturing into more efficient and sustainable operations and create a win-win situation for everyone.
“I firmly believe that manufacturing in the future will be driven by engineering processes using digital tools and technologies. This will result in safer machines and improved processing quality, which is vital, especially in pharmaceutics. It has been valuable to work with Silo AI, as there are often specific topics related to, for example, edge AI, for which we profit from working with a skilled partner. Working in partnership with Silo AI to access leading AI scientists with needed high-quality skills has been beneficial,” says Daniel Szabo, the CEO at Körber Digital.
Regulations in pharmaceutics range from accuracy and speed to thermal limits – making the evaluation of the best possible edge hardware solutions crucial
Silo AI was asked to evaluate the best possible edge hardware solutions to enable AI inference on pharmaceutical inspection machines. The evaluation needed to meet Körber’s requirements for pharma industry inspection machines and be a modular solution that modern software could adapt to many use cases.
Due to regulations in pharmaceutics, requirements like the accuracy and latency had to be taken into account. Additionally, edge hardware solutions have their requirements like processing power, memory size, and thermal limits.
In Körber’s case, the problem lay in latency and accuracy. In a factory setting, the decision-making is fast-paced. At maximum speed, about 600 vials need to be processed per minute in real-time whilst simultaneously logging an accurate audit trail.
“We’ve seen an increase in the need to bring computer vision solutions to the edge. Together with Körber, we’ve contributed to an AI-driven product by evaluating a wide variety of different hardware solutions, assessing case requirements, and then implementing them successfully as a working computer vision solution. We’re proud of our team for developing a technically superior solution that enables operations in pharma.” says Peter Sarlin, CEO at Silo AI.
- Silo AI evaluated the best possible edge hardware for pharma industry inspection machines to enable AI inference at the edge of inspection machines.
- Together Körber and Silo AI built a solution which shall be qualified and fulfills the basic pharmaceutical requirements.
In the video below, our Chief Technology Officer, Niko Vuokko, explains Edge AI and introduces how Edge AI was utilized for Körber’s requirements.
Would you like to discuss how computer vision could help your organization? Get in touch with Pertti Hannelin, firstname.lastname@example.org or on LinkedIn.
Silo AI is one of Europe’s largest private AI labs – a trusted AI partner that brings competitive advantage to product R&D. We build AI-driven solutions and products to enable smart devices, autonomous vehicles, industry 4.0, and smart cities. Silo AI provides its customers a unique access to world-class AI expertise, as well as the Silo OS infrastructure to speed up AI development and deployment. Established in 2017, Silo AI is on a mission to build a European flagship AI company, with offices currently in Helsinki, Turku, Oulu, Stockholm, London and Palo Alto.
Peter Sarlin, CEO, Silo AI
+358 40 572 7670
Körber is an international technology group operating five business segments: Digital, Pharma, Supply Chain, Tissue, and Tobacco. Its Digital department uses artificial intelligence to boost manufacturing efficiency. The Pharma unit builds machinery for the manufacturing, inspection, and packaging of pharmaceuticals. The Supply Chain segment provides system integration of material handling, machine vision, robotics, and software for warehouses. The Tissue department develops converting and packaging machines for hygiene tissue products. The Tobacco unit builds machinery to process tobacco and manufacture cigarettes and filters.
Daniel Szabo, CEO, Körber Digital
+49 160 5024635