CHUQUR O‘QITISHGA ASOSLANGAN REAL VAQTLI YUZNI TANISH TIZIMINING TIZIMLI TAHLILI
Qabul qilingan: 2026-05-29
Nashr etilgan: 2026-06-06
Annotatsiya
Maqolada videokuzatuv kameralari oqimlarida shaxsni real vaqtda aniqlash (face recognition) uchun chuqur o’qitishga asoslangan modulli tizimning to’liq arxitekturasi va har bir bosqichning ishlash mexanizmi batafsil yoritiladi. Tizim besh bosqichli ishlov berish quvuridan iborat: kameradan kadrlarni qabul qilish, yuzni aniqlash (RetinaFace/MTCNN), tekislash (alignment), embedding (FaceNet/ArcFace) va kosinus o’xshashligi orqali taqqoslash. Embedding vektorlari PostgreSQL + pgvector ombori orqali tezkor qidiriladi. Maqolaning amaliy qismida tizimning taqqoslash mantig’i 50 ta shaxsdan iborat sintetik embedding to’plamida baholandi: AUC = 1,000, teng xato darajasi (EER) = 0%, 0,6 chegarada aniqlik (accuracy) = 1,000 va F1-o’lchov = 0,995 natijalari olindi. Maqola texnik mutaxassisga tizimni to’liq tushunish va qayta tiklash imkonini beradigan tarzda, har bir komponent “nima uchun va qanday ishlashi” darajasida tushuntirilgan.
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