Naslov
Evaluating Microsoft Face API in the context of student classroom attendance

Autori
Marjanović, Martina ; Kramberger, Tin ; Kramberger, Renata ; Cesar, Ivan

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), stručni

Izvornik
2020 43rd International Convention on Information, Communication and Electronic Technology (MIPRO) / - Opatija : Institute of Electrical and Electronics Engineers (IEEE), 2020, 198-201

ISBN
978-953-233-099-1

Skup
43nd 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
Image quality , Image recognition , Face recognition , Face detection , Security

Sažetak
Face recognition technology is having a tremendous impact on the vast majority of today's human activities - mostly for leisure and security purposes. In this paper, we evaluate Microsoft Face API technology in the context of estimating classroom student attendance. A short overview of face recognition technology is presented, alongside common algorithms used in today's state- of-the-art face recognition systems. Finally, Microsoft Face API is evaluated with respect to image quality, blur, occlusion, and in-the-wild with an attempt to evaluate the efficiency of the recognition system in the context of student classroom attendance.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo

POVEZANOST RADA