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 (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences computer and information sciences internet internet of things
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering sensors optical sensors
- natural sciences computer and information sciences data science big data
- engineering and technology materials engineering woodworking
- natural sciences computer and information sciences artificial intelligence machine learning deep learning
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.2.1.1. - INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT)
MAIN PROGRAMME
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
IA - Innovation action
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) H2020-ICT-2018-20
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
36410 Porrino
Spain
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.