izvorni znanstveni rad
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.
image quality, image recognition, face recognition, face detection, security
Razvojem virtualizacijskih tehnologija raste kompleksnost IT sustava, dok korisnici istovremeno zahtijevaju brži pristup resursima, napredne integracije i jednostavnost korištenja. Jedno od ključnih rješenja za ove izazove primjena je…
Ovaj rad istražuje i uspoređuje mogućnosti prosljeđivanja grafičkih kartica na Hyper-V i KVM hipervizorima prema virtualnim strojevima, detaljno opisujući metode, postupke i razlike u arhitekturi koje utječu na…
The ever-growing usage and adaptation of HTTP/3 in web traffic leverages Quick UDP Internet Connections (QUIC) as a transport protocol. QUIC is widely recognized for reduced latency, enhanced…