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The MULTIPLE project will strengthen EU photonics manufacturing base. Cost-efficiency, flexibility, high productivity and quality attained thanks to MULTIPLE solutions will allow laser, optical measurement and image processing equipment, companies in Europe to compete glob ally through a breakthrough technology in manufacturing, thus benefiting from business opportunities in fast growing markets.
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MULTIPLE attended the EPIC Online Technology Meeting on Photonics for Improved Pharma Processes

26 November 2020
by jessica

30 November 2020, LIVE on YouTube

MULTIPLE is dedicated to providing cost-effective multi-modal monitoring solutions with a breakthrough impact on production quality and efficiency. MULTIPLE’s novel multi-modal monitoring systems will be IoT native, by combining them with cloud, big data, and deep learning for agile development and orchestration of complex AI-based models to optimise production processes.

MULTIPLE attended the EPIC Online Technology Meeting on Photonics for Improved Pharma Processes on 30 November 2020 at 15:00 CET. Watch the entire meeting here >>>

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About us

MULTIPLE will develop cost-effective multimodal monitoring solutions with a breakthrough impact on production quality and efficiency. It will bring cutting-edge organic-electronics-based sensors, snapshot hyperspectral filters and dual-aperture imaging to deliver cost-effective spectrometers and camera cores in a broad VIS/SWIR range, complemented with cost effective laser-based chemometric sensors in the MWIR. On top of these sensors, MULTIPLE will develop novel multimodal monitoring systems that will be IoT native, by combining them with cloud, big data, and deep learning for agile development and orchestration of complex AI-based models to optimise production improving EU manufacturing competitiveness.

Project information

Grant agreement: 871783
Call identifier: H2020-ICT-2019-2
Type of action: IA
Duration: 36 months
Start date: 01 December 2019

www.photonics21.org

MULTIPLE project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 871783
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