Project description
A new optical system to help robots ‘see’
The future of collaborative robots, self-driving cars and augmented reality (AR) hinges on the accuracy of three-dimensional sensors. These sensors allow for real time situation and environment messages to be detected. It’s where the magic happens. The EU-funded Smarter Vision Micro project is developing a real-time miniaturised 3D optical system that enables machines to 'see' and safely interact with the environment. The aim is to develop applications enabling more autonomous intelligent and safer cars and robots, to improve user experience. The project will work with system integrators and software specialists. Its customer base includes manufacturers of robots, cars and consumer electronics (namely, Yaskawa, Porsche and Huawei). As regards commercialisation, the project will adopt a B2B sales strategy.
Objective
"3D sensing is transforming entire industries, enhancing machines ability to ""see"" and enable new innovative product such as collaborative robots, self-driving cars, or Augmented Reality mobile devices. However, current 3D sensors lack adequate accuracy and require substantial computer power for safely taking decisions in real-time.
To answer to this unmet need, at Ladimo we have focused our expertise in mathematical modeling and software to design Smarter Vision Micro: A real-time miniaturized 3D optical system, with an unrivaled accuracy that enable machines to ""see"" and safely interact with the environment. Smarter Vision Micro will have a considerable impact on the robotics, automotive, consumer electronics sectors by helping manufacturers to create a wide spectrum of commercial applications, ranging from more autonomous, intelligent, and safer cars and robots, to facial and gesture recognition for safer and securer drivingexperience as well as consumer electronics controllers with new AR/VR capabilities.
Our primary customer base will be robot, car, consumer electronics manufacturers where we have already risen traction (e.g. Porsche, Huawei, Yaskawa), as well as system integrators and software specialists who will include our system into their offerings (robotics, facial recognition, augmented/virtual reality and autonomous driving systems). We will adopt a B2B sales strategy for the commercialization of our product, and also plan to diversify into License model for its implementation into different platforms.
SmarterVision will have an impact by enabling new robotic, automotive, and AR/VR applications. We expect to obtain cumulative gross profit of €39 million with a ROI of 20.57 during the first 5 post-Phase 2 years, while creating 80 new jobs. We also expect to have an impact on Europe reputation of technological leadership since blue-chip international companies from competitor countries are interested in our technology."
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: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- engineering and technology mechanical engineering vehicle engineering automotive engineering autonomous vehicles
- natural sciences computer and information sciences artificial intelligence computer vision facial recognition
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering sensors
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering robotics
- natural sciences mathematics applied mathematics mathematical model
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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.2.3. - 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-2 - SME instrument phase 2
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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.
02130 Espoo
Finland
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.