Project description
Computer vision for preemployment screening
One of the next big artificial intelligence (AI) revolutions is computer vision – the process of using machines to understand and analyse photos and videos – from object classification (based on a dataset of specific objects) to identification (recognising a specific instance or detail of an object). The EU-funded TalentVision project is reviewing the feasibility of computer vision in its next stage: analyzing psychophysiological biomarkers, or micro changes in the human face and eyes to extract information on cognition and behaviour. Coordinated by the Dutch start-up Neurolytics, the project will study the market requirements, product features as well as a review of the technical requirements, for solutions based on its technology of psychophysiological biometric interpretation. Applying this to daily use for pre-employment talent assessment is the main goal of the project.
Objective
Countless problems in our society today could be solved in the future using computer vision (the use of computing to understand digital images and video) across many fields including security, healthcare, learning, and human resources. Currently, only a fraction of the potential is explored, mainly in face recognition and emotion recognition. Dutch startup Neurolytics, aims to develop technology using a different set of computer vision techniques based on psychophysiological biomarkers, or micro changes in the human face and eyes that give information on cognition and behavior. Decades of research in neuro psychology show that these biomarkers derived from video indicate, for instance, mental effort, excitement, engagement, stress, and personality. This know how has remained hidden in scientific publications but will now be applied to a practical solution for every-day use. This SME Phase 1 project will bring the experimental proof of concept software and demonstrate its use for talent assessment (Technology Readiness Level (TRL 5-6 to 9) and address other feasibility aspects such as regulatory compliance, commercial strategy, and intellectual property rights.
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.
- social sciences media and communications graphic design
- natural sciences computer and information sciences software
- natural sciences computer and information sciences artificial intelligence computer vision facial recognition
- social sciences psychology
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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.
3581 CC UTRECHT
Netherlands
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.