Pregled bibliografske jedinice broj: 1091163
Individualization of Anonymous Identities Using Artificial Intelligence (AI)
Individualization of Anonymous Identities Using Artificial Intelligence (AI) // 2020 43rd International Convention on Information, Communication and Electronic Technology (MIPRO) / Skala, Karolj (ur.).
Opatija: Institute of Electrical and Electronics Engineers (IEEE), 2020. str. 1058-1063 doi:10.23919/mipro48935.2020.9245156 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 1091163 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Individualization of Anonymous Identities Using
Artificial Intelligence (AI)
Autori
Bronzin, Tomislav ; Prole, Brigita ; Stipic, Arian ; Pap, Klaudio
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
2020 43rd International Convention on Information, Communication and Electronic Technology (MIPRO)
/ Skala, Karolj - Opatija : Institute of Electrical and Electronics Engineers (IEEE), 2020, 1058-1063
ISBN
978-953-233-099-1
Skup
43rd International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO 2020)
Mjesto i datum
Opatija, Hrvatska, 28.09.2020. - 02.10.2020
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
artificial intelligence (AI) , individualization , communication , biometric identity , biometric footprint , anonymous identity , blockchain , computer vision
Sažetak
Individualization of anonymous identities using artificial intelligence - enables innovative human-computer interaction through the personalization of communication which is, at the same time, individual and anonymous. This paper presents a possible approach for the individualization of anonymous identities in real- time. It uses computer vision and artificial intelligence to automatically detect and recognize a person’s age group, gender, human body measures, proportions, and other specific personal characteristics. Collected data constitutes the so-called person's biometric footprint and are linked to a unique (but still anonymous) identity that is recorded in the computer system, along with other information that makes up the profile of the person. Identity anonymization can be achieved by appropriate asymmetric encryption of the biometric footprint (with no additional personal information being stored) and integrity can be ensured using blockchain technology. Data collected in this manner is GDPR compliant.
Izvorni jezik
Engleski
Znanstvena područja
Grafička tehnologija, Računarstvo, Informacijske i komunikacijske znanosti
POVEZANOST RADA
Ustanove:
Grafički fakultet, Zagreb,
Visoko učilište Algebra, Zagreb