The MULTIPLE project aims to develop cost-effective multimodal monitoring solutions with a breakthrough impact on production quality and efficiency.
It hopes to 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.
This will also be complemented with cost effective laser-based chemometrics. The objective is to leverage SoA cloud and big data technologies to create new services and microservices supporting data collection, deep learning model development, and enhanced decision support tools.