Opendata, web and dolomites


Feasibility study for Multicursor - a non-contact sensor for curing quality control

Total Cost €


EC-Contrib. €






 Multicursor project word cloud

Explore the words cloud of the Multicursor project. It provides you a very rough idea of what is the project "Multicursor" about.

cured    sensor    trl    sort    commercialization    wood    moving    heavily    collection    prototype    multicursor    poisonous    laser    inspection    solution    machine    integrate    digitalization    defect    introduction    data    liabilities    creation    proposition    automation    inefficient    contact    advantages    potentially    competitive    risks    specifications    apart    zero    hundreds    valuable    although    pieces    lack    plan    learning    manufacturing    intelligent    critical    quality    absence    technologies    causing    solutions    successful    polymerization    cutting    curing    lithuanian    models    time    thanks    factobotics    risk    finalization    adequately    leads    industry    feasibility    company    facilities    artificial    full    instrument    contrary    sme    edge    creates    turn    elaborated    faster    furniture    robotics    intelligence    grade    outdated    rate    automated    intends    monitoring    surfaces    reliant    combining    market    business    industries    health    thousands   

Project "Multicursor" data sheet

The following table provides information about the project.


Organization address
address: JOGAILOS 4
postcode: 1116
website: n.a.

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Lithuania [LT]
 Project website
 Total cost 71˙429 €
 EC max contribution 50˙000 € (70%)
 Programme 1. H2020-EU.3. (PRIORITY 'Societal challenges)
2. H2020-EU.2.3. (INDUSTRIAL LEADERSHIP - Innovation In SMEs)
3. H2020-EU.2.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies)
 Code Call H2020-SMEInst-2018-2020-1
 Funding Scheme SME-1
 Starting year 2019
 Duration (year-month-day) from 2019-06-01   to  2019-09-30


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UAB FACTOBOTICS LT (VILNIUS) coordinator 50˙000.00


 Project objective

Although manufacturing is moving towards digitalization and full automation, some industries, such as the furniture industry, are still heavily reliant on inefficient and outdated technologies. In particular, the furniture sector has been identified to lack any sort of automated solution for wood curing quality control, one of the critical manufacturing processes. Apart from causing a high defect rate, the absence of an inspection system creates a risk of manufacturing hundreds of thousands of pieces of furniture that are not adequately cured and potentially poisonous. This, in turn, leads to increased health risks and possible legal liabilities for the manufacturing company. To address the challenges, Factobotics, a Lithuanian robotics SME, has developed a novel solution– Multicursor. Multicursor is an intelligent non-contact polymerization quality system combining cutting-edge laser technology and machine learning models to provide a real-time response on wood surfaces curing level and quality. On the contrary to the existing solutions on the market, Multicursor is provided with a non-contact sensor, is easy to integrate into the process of manufacturing through, enabling automated quality control and data collection. Thanks to its competitive advantages the system will make measurement faster and allow zero defect manufacturing through real-time system monitoring and collection of valuable data. Multicursor is currently at TRL 6. The next step is moving on to TRL 7 that will require the introduction of the industry-grade prototype with further testing in the furniture production facilities. To ensure successful commercialization, in Phase 1 of SME Instrument, Factobotics intends to develop an elaborated feasibility study for Multicursor that is to include the finalization of Multicursor’s value proposition, the creation of the Technical Specifications for Artificial Intelligence and development of the Multicursor business plan.

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "MULTICURSOR" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email ( and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

The information about "MULTICURSOR" are provided by the European Opendata Portal: CORDIS opendata.

More projects from the same programme (H2020-EU.3.;H2020-EU.2.3.;H2020-EU.2.1.)

Dyme (2019)

Dyme gives its users complete control over their financial situation. The Dyme application provides insight into users’ spending and subscriptions, and lets users cancel, negotiate, or switch any cont

Read More  

COPI (2020)

Carbon Offset Plug-in

Read More  

HAC (2019)


Read More