Project description
A cloud-based machine learning platform for super-smart devices
There is a growing need in the smart device manufacturing industry for integrated mass-scale solutions that combine non-intrusive user presence detection and intuitive gesture recognition without requiring supplemental hardware. The EU-funded IMIR-UP project aims to create a cloud-based machine learning as a service (MLaaS) platform that can easily integrate virtual sensors with smartphones and devices. The platform’s only requirement is that the users define the product’s operating environment (e.g. memory, storage, computation capacities, power consumption, mechanical setup and component characteristics) and select the desired range and sensitivity. Device manufacturers can subsequently be provided with a software integration package customised to their product and a set of machine learning classifiers.
Objective
Smart device manufacturers require constant innovation in order to improve their products while simultaneously reducing costs. Hardware-based solutions are expensive, requiring dedicated sensors and long deployment times to fully integrate them into devices, since they must be manually tuned and calibrated for each new type of application. This makes it difficult to customise such devices for different market segments and end-user needs. Furthermore, extra hardware requirements often compromise a device’s design, increasing their bulk and rendering them old-fashioned. Many hardware-based solutions also increase the risk to a user’s privacy and data security, such as those solutions involving cameras. As a result, manufacturers are adopting software-only solutions instead of hardware. However, they do not yet have a presence detection or gesture recognition solution ready for mass commercialization.
Elliptic Labs is the world leader in ultrasound sensing software for smart devices, enabling touchless interactions and gesture interpretation. INNER MAGIC and INNER REFLECTION (IMIR products) are the first-of-their-kind integrated solutions for non-intrusive user presence detection and intuitive gesture recognition, transforming smart devices into genius devices. The aim of the IMIR-UP Phase 2 project is to fully mature our award-winning and patented technology for easy, mass-scale (“plug-n-play”) deployment in any consumer electronic smart device without requiring supplemental hardware (software only). Bringing our innovative IMIR products to the mass market will positively disrupt existing touchless sensing technologies, resulting in an improved user ability to intuitively interact with their smart devices via a natural extension of normal human behaviour. We estimate that we will reach 651.21m smart devices (just 2.87% of our TAM) after the first 5 years of commercialisation, representing accumulated revenues and gross profits of €195.36m and €105.15m respectively.
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 information engineering telecommunications radio technology radio frequency
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering sensors optical sensors
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering signal processing
- engineering and technology electrical engineering, electronic engineering, information engineering information engineering telecommunications radio technology radar
- engineering and technology electrical engineering, electronic engineering, information engineering information engineering telecommunications mobile phones
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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-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.
0180 Oslo
Norway
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.