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
- engineering and technologycivil engineeringurban engineeringsmart cities
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensorsoptical sensors
- natural sciencescomputer and information sciencesdata sciencebig data
- natural sciencescomputer and information sciencesartificial intelligencemachine learningdeep learning
Programme(s)
Funding Scheme
SME-1 - SME instrument phase 1Coordinator
1265 Copenhagen C
Denmark
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.