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UniMind SIGNED

SaaS platform applying Artificial Intelligence and collaborative learning to the automation of Machine Vision-based manufacturing processes

Total Cost €

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EC-Contrib. €

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Partnership

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 UniMind project word cloud

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

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Project "UniMind" data sheet

The following table provides information about the project.

Coordinator
PIPLUS SERVICIOS PROFESIONALES SL 

Organization address
address: CL ROSALIA DE CASTRO 63 2DO 2
city: BARCELONA
postcode: 8025
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 Spain [ES]
 Project website http://bitmetrics.es/unimind
 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 2019-03-01   to  2019-08-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    PIPLUS SERVICIOS PROFESIONALES SL ES (BARCELONA) coordinator 50˙000.00

Map

Leaflet | Map data © OpenStreetMap contributors, CC-BY-SA, Imagery © Mapbox

 Project objective

UniMind is a Deep Learning SaaS platform for the intelligent automation of manufacturing processes, minimizing the combination of low-valuehigh-repetitiveness tasks for human workers. Automating these processes is expensive (i.e. unattainable for SMEs), time-consuming and most of all: inflexible. All solutions are custom-made and not adaptable to different contexts. UniMind significantly lowers the time needed to learn and implement a new process. The algorithm’s learning process is fostered by incremental collaborative learning: the algorithms engaged in different processes and working in different companies are all connected to the cloud, so the work experience of one solution feeds all the others.

UniMind has many possible applications, and we are starting for Visual Quality Control and Random Bin Picking, since both are highly in-demand processes and ideal to train UniMind for other applications. Existing solutions are partial and tailored to clients’ particular needs, not scalable to new applications, shop floor changes and/or scenarios. They are also slow in their deployment, dependent on evolutive maintenance and expensive.

Worldwide revenues in the Machine Vision market have consistently grown since 2015, for all applications (€ 8.77 bn in 2017, growing at a 7.7% CAGR up to € 16.08bn in 2025). BitMetrics has defined a Total Available Market of € 8.47bn, of which it will obtain 0.29% share by 2025, having reached a cumulative EBITDA of € 33.64M. Our affordable subscription-based pricing strategy will lead us to reach these numbers. Our product is offered through a SaaS model. As a result, SMEs will be able to affordably automate their processes for the first time in the history.

UniMind targets the manufacturing industry, specifically the Automotive, Electronics and Food & Beverages sectors. Nissan Motors (as client) and Siemens (as distributor) have already shown interest in UniMind.

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "UNIMIND" 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 (fabio@fabiodisconzi.com) 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 "UNIMIND" are provided by the European Opendata Portal: CORDIS opendata.

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