Project description
Spectral sensor for integrated process optimisation
The EU-funded 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.
Objective
MULTIPLE will develop cost-effective multimodal monitoring solutions with a breakthrough impact on production quality and efficiency. It will bring cutting-edge OLED-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 optimize production improving EU manufacturing competitiveness.
To develop cost-effective HSI SWIR (0.9-1.7 µm) camera cores ready for volume production.
To develop a compact and cost-effective dual-aperture HSI imager combining snapshot CMOS and InGaAs hyperspectral sensors based on mosaic filters covering the whole VIS/SWIR range (0.4-1.7 µm).
To develop novel cost-effective spectrometer solutions for highly specific chemometric analysis in an extended VIS/MWIR range (0.4-3.5 µm wavelength), based on innovative OLED sensors and laser-based spectroscopy.
To develop embedded deep models for regression, classification and RT control. It will guarantee onsite and online measurements and classification of different types of categories with high flexibility, accuracy, and reliability.
To develop an integral and scalable approach to process monitoring, quality assurance, and process optimization through the orchestration of photonic monitoring systems under an IoT native approach. The aim is to leverage SoA cloud and big data technologies to create new services and microservices enhancing decision support tools.
To demonstrate MUTLIPLE in 3 manufacturing scenarios: steelworking, woodworking and food
Fields of science
- natural sciencescomputer and information sciencesinternetinternet of things
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensorsoptical sensors
- natural sciencescomputer and information sciencesdata sciencebig data
- engineering and technologymaterials engineeringwoodworking
- natural sciencescomputer and information sciencesartificial intelligencemachine learningdeep learning
Keywords
Programme(s)
Funding Scheme
IA - Innovation actionCoordinator
36410 Porrino
Spain
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Participants (19)
36860 Ponteareas
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
08940 CORNELLA DE LLOBREGAT
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
3001 Leuven
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61 612 Poznan
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
47900 Rimini
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Legal entity other than a subcontractor which is affiliated or legally linked to a participant. The entity carries out work under the conditions laid down in the Grant Agreement, supplies goods or provides services for the action, but did not sign the Grant Agreement. A third party abides by the rules applicable to its related participant under the Grant Agreement with regard to eligibility of costs and control of expenditure.
08173 Sant Cugat Del Valles
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Legal entity other than a subcontractor which is affiliated or legally linked to a participant. The entity carries out work under the conditions laid down in the Grant Agreement, supplies goods or provides services for the action, but did not sign the Grant Agreement. A third party abides by the rules applicable to its related participant under the Grant Agreement with regard to eligibility of costs and control of expenditure.
20852 Villasanta
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Legal entity other than a subcontractor which is affiliated or legally linked to a participant. The entity carries out work under the conditions laid down in the Grant Agreement, supplies goods or provides services for the action, but did not sign the Grant Agreement. A third party abides by the rules applicable to its related participant under the Grant Agreement with regard to eligibility of costs and control of expenditure.
47921 RIMINI
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49630 Quart De Poblet Valencia
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Legal entity other than a subcontractor which is affiliated or legally linked to a participant. The entity carries out work under the conditions laid down in the Grant Agreement, supplies goods or provides services for the action, but did not sign the Grant Agreement. A third party abides by the rules applicable to its related participant under the Grant Agreement with regard to eligibility of costs and control of expenditure.
46930 Valencia
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8853 Lachen Sz
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
15008 Coruna
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40220 Tarnos
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75116 PARIS 16
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
75009 Paris
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
12131 Peristeri Athina
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01067 Dresden
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
2740-120 Porto Salvo
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28037 Madrid
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.