Project description
AI for better visual inspection in manufacturing
As digitalisation advances, the advantages it offers to the industrial sectors worldwide grow. However, manufacturing still largely relies on humans because of the cost and limitations of machines. This hinders manufacturing processes as visual inspection accounts for a high chance of errors. The EU-funded MoonVision 2.0 project aims to introduce and spread an artificial intelligence (AI) computer-vision platform. Designed to replace current visual inspection systems, this new platform uses proprietary algorithms and events that allow for lower costs, higher optimisation and better data generation while remaining easy to operate and learn. Many renowned companies already include MoonVision.
Objective
"Manufacturing and other companies still rely on humans for visual inspection checks despite the high error rates. This is because automated systems are too general and too expensive and conventional machine vision is too simple. Computer vision and AI can bring the next needed revolution in digitization. They allow machines to see and understand processes in their environment.
The AI computer vision platform MoonVision detects item type and amounts on a visual basis using proprietary algorithms and triggers events including the optimization of machines, payment processes or data generation. MoonVision works with a wide range of commonly available hardware and the deep learning algorithms only require a small amount of images and data to learn.
MoonVision can be applied in a wide range of industries ranging from inspecting metal surfaces to tracking the types of containers in waste processing. Several renown companies are already using MoonVision including Miba, Audi, Sacher, etc. MoonVision has allowed us to enter the AI image recognition market that was valued at €1 billion in 2017. We could gain the part of the market that is dedicated to recognizing images for industrial applications.
We follow an SaaS business model with different subscription levels depending on the vertical. Our customers are different companies in manufacturing, hospitality and anyone who needs visual inspection. The most important types of suppliers are hosting, computation and data suppliers.
Our core team has three members. Our CEO and Founder Florian is a web developer and entrepreneur and holds an MS in Economics. The Executive Director and COO Kamil has worked in consulting since 2008 and holds a BA in business. Tatiana is our AI data engineer and holds a PhD in Optics and Musical Acoustics.
Advanced technologies are currently fueling the ""fourth industrial revolution,"" with the potential of transforming EU industries and creating enormous growth in the European economy."
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 electrical engineering, electronic engineering, information engineering electronic engineering sensors optical sensors
- natural sciences computer and information sciences artificial intelligence computer vision image recognition
- social sciences political sciences political transitions revolutions
- social sciences economics and business business and management business models
- natural sciences computer and information sciences artificial intelligence machine learning deep learning
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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.2.3. - INDUSTRIAL LEADERSHIP - Innovation In SMEs
MAIN PROGRAMME
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H2020-EU.3. - PRIORITY 'Societal challenges
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H2020-EU.2.1. - INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies
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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.
SME-1 - SME instrument phase 1
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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-EIC-SMEInst-2018-2020
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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.
1220 WIEN
Austria
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.