Keywords
Abstract
Ushbu maqolada oliy ta’lim muassasalarida talabalar davomatini yuzni aniqlash texnologiyasi asosida avtomatik nazorat qilish masalalari tadqiq etiladi. Tajriba obyekti sifatida auditoriya kamerasi orqali olingan videokadrlar tanlandi. An’anaviy davomat usullari - ro‘yxatni ovoz chaqirib o‘qish yoki imzo yig‘ish - vaqt talab etadi xatoga moyil va boshqa talaba o‘rniga belgilatish (soxta davomat) muammosiga ochiq. Chuqur o‘rganishga asoslangan yuzni aniqlash modellari yuzni topish asosiy nuqtalarni moslashtirish hamda yuz tasvirini ixcham vektor (embedding) ko‘rinishiga o‘tkazib talabani ma’lumotlar bazasidagi namuna bilan taqqoslash imkonini beradi. Maqolada real vaqt cheklovlari kadrni qayta ishlash tezligi aniqlik bilan noto‘g‘ri tan olish o‘rtasidagi muvozanat yoritish niqob va burchak kabi omillarning ta’siri shuningdek biometrik ma’lumotlar maxfiyligi tahlil qilindi. Natijalar shuni ko‘rsatadiki yuzni aniqlashga asoslangan davomat tizimi nazoratni tezlashtiradi va soxta davomatni kamaytiradi biroq u maxfiylik talablariga rioya qilgan holda o‘qituvchining yordamchi vositasi sifatida joriy etilishi maqsadga muvofiqdir.
References
Szeliski R. Computer Vision: Algorithms and Applications. 2nd edition. Springer 2022.
2. Goodfellow I. Bengio Y. Courville A. Deep Learning. MIT Press 2016.
3. Viola P. Jones M. Rapid Object Detection Using a Boosted Cascade of Simple Features. Proceedings of CVPR 2001.
4. Schroff F. Kalenichenko D. Philbin J. FaceNet: A Unified Embedding for Face Recognition and Clustering. Proceedings of CVPR 2015.
5. Deng J. Guo J. Xue N. Zafeiriou S. ArcFace: Additive Angular Margin Loss for Deep Face Recognition. Proceedings of CVPR 2019.
6. Zhang K. Zhang Z. Li Z. Qiao Y. Joint Face Detection and Alignment Using Multitask Cascaded Convolutional Networks. IEEE Signal Processing Letters 2016.
7. Taigman Y. Yang M. Ranzato M. Wolf L. DeepFace: Closing the Gap to Human-Level Performance in Face Verification. Proceedings of CVPR 2014.
8. Parkhi O.M. Vedaldi A. Zisserman A. Deep Face Recognition. Proceedings of BMVC 2015.
9. King D.E. Dlib-ml: A Machine Learning Toolkit. Journal of Machine Learning Research 2009.
10. Bradski G. The OpenCV Library. Dr. Dobb’s Journal of Software Tools 2000.
11. European Union. General Data Protection Regulation (GDPR). Official Journal of the European Union 2016.
12. OpenCV Documentation. Face Detection and Face Recognition modules. Murojaat sanasi: 03.06.2026.