MULTIPLE will develop cost-effective multi-modal 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 VNIR & 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 optimize production improving EU manufacturing competitiveness.
Spectral imaging is an imaging technique that captures and processes multiple narrow band images over a spectral range. It enables detailed analysis and identification of objects as they contain unique information at different wavelengths. There are three main methods of acquiring hyperspectral imaging data: spatial scanning, spectral scanning, and snapshot imaging. Snapshot sensors/cameras collect the entire 3D datacube in a single shot without scanning. As a result, they are free of scanning artefacts, far more robust and compact, and benefit from higher optical efficiency.
The technology used in MULTIPLE is based around three pillars:
Multi-modal spectral sensors and cameras
MULTIPLE is developing a complete set of cost effective and compact multi-modal monitoring systems, capable to probe the very specific information carried by photons in different spectral bands spanning a broad range from 0.5 µm to 5 µm wavelength. Read more >>>
Orchestration of monitoring solutions
In order to manage the big amount of data from the spectral sensors and to stress the most of their potential, MULTIPLE will develop smart photonic -IoT native- monitoring devices. These edge devices will implement novel real-time processing pipelines based on Deep Learning, enabling processing of high dimensionality data like hyperspectral datacubes for different operations in the manufacturing industrial environment, with minimal engineering intervention. Read more >>>
Integrated process optimisation
MULTIPLE will establish an integrated production optimisation framework allowing flexible control of the production line, applying real-time control at specific critical points, as well as monitoring the overall production efficiency providing meaningful information for decision making and feedback to update production models and KPIs. Read more >>>