Objective
Digital advertising is a fast growing market. However, today advertising producers struggle to maximize the consumers’ engagement. Although personalised ads represent the market trend, it is recognised customers often perceive these ads as less engaging than expected. In this context, CYNNY, a SME expert in deep-learning technologies and advanced cloud applications, proposes what it might be considered as a revolution in the advertising sector. The MORPHCAST project aims at enabling ads producers to maximise the level of ads personalization thanks to the application of facial recognition techniques integrated with state-of-the-art artificial intelligence capabilities. CYNNY will aim at deploying a disruptive software application that allows the creation of light and low-band consuming tailor made videos (10 times lighter than actual in-stream .mp4 videos) that change instantaneously according the gender, age and emotions on the face of the viewer, via his/her own mobile device camera, and with minimal impact on batteries. The system integrates cutting-edge facial recognition technologies (95% accuracy for the gender, ± 7 years for the age, 97% for emotions) and it can completely run on client-side mode. In addition, the MORPHCAST performance can also benefit from the lean and very efficient CYNNY proprietary microservers architecture (CYOne). With the support of the SME-Instrument fund, we aim at optimizing (TRL6-7), validating in real conditions (ca. 1M users globally) and fully deploying (TRL 8-9) the application by 2019. We foresee a positive return of investment since the first year of commercialization, and expect to reach a huge competitive advantage on the market of reference. Within the MORPHCAST–Phase 1, CYNNY aims at assessing the full feasibility of the innovation, under the technical, economic and operational point of view, preparing a consistent business plan that will include a detailed commercialization strategy for a successful market introduction.
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.
- natural sciences computer and information sciences artificial intelligence computer vision facial recognition
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering sensors optical sensors
- natural sciences computer and information sciences data science big data
- social sciences political sciences political transitions revolutions
- natural sciences computer and information sciences software software applications
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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.2.1.1. - INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT)
MAIN PROGRAMME
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H2020-EU.2.3.1. - Mainstreaming SME support, especially through a dedicated instrument
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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-SMEInst-2016-2017
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.
50129 FIRENZE
Italy
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.