SUN’IY INTELLEKT VA KLASSIK KOMPYUTER KO‘RISH ALGORITMLARI ASOSIDA YUZNI TANIB OLISH TIZIMI
Keywords:
Kalit so‘zlar: Sun’iy intellekt, yuzni tanib olish, OpenCV, Haar Cascade, deep learning, kompyuter ko‘rish, real vaqt tizimi, Face Recognition. Keywords: Artificial intelligence, face recognition, OpenCV, Haar Cascade, deep learning, computer vision, real-time system.Abstract
Annotatsiya
Mazkur maqolada sun’iy intellekt va klassik kompyuter ko‘rish algoritmlariga
asoslangan yuzni tanib olish tizimining ishlash prinsiplari tahlil qilinadi. Xususan,
Haar Cascade, OpenCV va chuqur o‘rganish algoritmlarining o‘zaro integratsiyasi
orqali real vaqt rejimida yuzni aniqlash va tanib olish samaradorligini oshirish
masalalari yoritilgan. Tadqiqot davomida turli yorug‘lik va fon sharoitlarida tizimning
aniqlik darajasi o‘rganildi hamda gibrid yondashuvning afzalliklari ko‘rsatib berildi.
Shuningdek, ushbu texnologiyaning xavfsizlik tizimlari, ta’lim muassasalari va aqlli
kuzatuv platformalaridagi qo‘llanilish imkoniyatlari tahlil qilindi.
References
Foydalanilgan adabiyotlar
1. Richard Szeliski. Computer Vision: Algorithms and Applications. Springer, 2022.
2. Ian Goodfellow, Yoshua Bengio, Aaron Courville. Deep Learning. MIT Press,
2019.
3. OpenCV Documentation. Open Source Computer Vision Library, 2024.
4. Viola P., Jones M. Rapid Object Detection using a Boosted Cascade of Simple
Features. IEEE, 2001.
5. Zhang Z. Deep Learning based Face Recognition Systems. Journal of Artificial
Intelligence Research, 2023.
