Project description
Smart cameras for increased security
So many aspects of daily life are becoming smarter and digitally connected, from the cities we live in to the shops we visit and the security systems used to keep us safe. Smart means have increased efficiency, but they have also opened the door to new types of attack. As such, they need to comply with European legislation on data protection and privacy. The EU-funded SensorM3D project is developing a system that offers real-time, real-area 3D analytics using deep learning. AI-PEVA 3D is based on video and edge computing that allows highly-detailed automated tracking of persons and objects. It analyses the typed image data and automatically transforms it into quantised data. This ensures privacy and helps to achieve a real-time rendering of the model of environs.
Objective
GRAZPER presents a complete embedded solution for real-time, wide-area, 3D analytics for physical environments based on multisensor cameras. Our product – AI-PEVA 3D – intends to be an enabling tool for any entity that operates in the video camera market and monitoring of populated areas, generate large amounts of data and require compliance with GDPR legislation. Our customers are spread in three so called “Smart” segments: in Smart Cities, municipalities can plan roads and traffic better; in Smart Retail, shop owners can determine if people enter the store or just look, thus improving their marketing strategy; in Smart Security, surveillance agencies can follow suspicious movements and predict danger. To meet their demands, AI-PEVA 3D analyses video streams from real-time surveillance cameras based on Machine Deep Learning and Edge processing. The core of the technology is a re-identification system that transforms images immediately into quantized data, analyses it and reconstructs an anonymized 3D rendering, thus ensuring the privacy of any citizen caught on camera. The present SME Phase 1 proposal is perfectly aligned with the company´s strategy of maturing AI-PEVA 3D, namely the 3D multisensor camera and GDPR compliance to perform big data analytics with lower resources than the competition. At this stage, technical optimization according to the requirements of our potential customers and end-users, further demonstrations and certification will be our focus in Phase 2 project. This project will boost the growth of GRAZPER as a team and as a pioneer key player of multisensory smart cameras as Big Data tools for Smart Cities, Smart Retail and Smart Security segments.
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 civil engineering urban engineering smart cities
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering sensors optical sensors
- natural sciences computer and information sciences data science big data
- natural sciences computer and information sciences artificial intelligence machine learning deep learning
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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-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.
1265 Copenhagen C
Denmark
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.