CHUQUR O‘RGANISH ALGORITMLARI ASOSIDA YUZNI TANIB OLISH TIZIMINING SERVER VA EDGE QURILMALARIDA ISHLASH MEXANIZMI
Keywords:
yuzni tanib olish, chuqur o‘rganish, CNN, edge computing, server tizimi, biometrik autentifikatsiya, GPU, kompyuter ko‘rish., face recognition, deep learning, CNN, edge computing, server system, biometric authentication, GPU, computer vision.Abstract
Mazkur tezisda chuqur o‘rganish algoritmlari asosida ishlovchi yuzni tanib olish tizimining server va edge qurilmalarida ishlash mexanizmi tahlil qilinadi. Zamonaviy biometrik tizimlarda real vaqt rejimida yuqori aniqlikda ishlash bilan bir qatorda ma’lumotlarni tezkor qayta ishlash va minimal kechikishni таъминlash muhim hisoblanadi. Shu sababli hisoblash jarayonlarini markaziy server va edge qurilmalar o‘rtasida taqsimlash orqali tizim samaradorligini oshirish masalasi dolzarb hisoblanadi.
This thesis analyzes the operating mechanism of a face recognition system based on deep learning algorithms functioning on server and edge devices. In modern biometric systems, along with achieving high accuracy in real-time operation, ensuring fast data processing and minimal latency is also of great importance. Therefore, improving system efficiency by distributing computational processes between central servers and edge devices is considered a relevant issue.
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