Project description
An AI-enabled platform providing manufacturing SMEs a competitive edge
Artificial intelligence (AI) technologies offer new possibilities. It makes intelligent automation accessible and affordable to small and medium-sized enterprises involved in manufacturing, ensuring that they remain competitive in the global market. Many companies, however, face challenges arising from digitisation and automation, such as costs and time constraints. BitMetrics proposes UniMind – a deep learning SaaS platform that democratises access to intelligent automation of vision-based processes. It is based on three pillars: machine vision, deep learning and robot learning. The EU-funded UniMind project will assess the viability of BitMetrics’ business model in a competitive environment, with the aim of gaining a better understanding of the market for this platform.
Objective
UniMind is a Deep Learning SaaS platform for the intelligent automation of manufacturing processes, minimizing the combination of low-value+high-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.
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.
- engineering and technology mechanical engineering manufacturing engineering
- engineering and technology other engineering and technologies food technology
- social sciences sociology industrial relations automation
- social sciences economics and business business and management business models
- natural sciences computer and information sciences artificial intelligence machine learning deep learning
You need to log in or register to use this function
We are sorry... an unexpected error occurred during execution.
You need to be authenticated. Your session might have expired.
Thank you for your feedback. You will soon receive an email to confirm the submission. If you have selected to be notified about the reporting status, you will also be contacted when the reporting status will change.
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.
-
H2020-EU.2.3. - INDUSTRIAL LEADERSHIP - Innovation In SMEs
MAIN PROGRAMME
See all projects funded under this programme -
H2020-EU.3. - PRIORITY 'Societal challenges
See all projects funded under this programme -
H2020-EU.2.1. - INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies
See all projects funded under this programme
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.
SME-1 - SME instrument phase 1
See all projects funded under this funding scheme
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-EIC-SMEInst-2018-2020
See all projects funded under this callCoordinator
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.
08025 BARCELONA
Spain
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
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.