PAXTA TOLALARINING SIFATINI ANIQLASHDA SUN’IY INTELLEKT ALGORITMLARIDAN FOYDALANISH
Keywords:
paxta tolasi, sun’iy intellekt, mashina ko‘rish, neyron tarmoq, sifat nazoratiAbstract
Maqolada paxta tolalarining sifatini aniqlashda sun’iy intellekt (AI) algoritmlaridan foydalanish imkoniyatlari ilmiy jihatdan tahlil qilingan. An’anaviy laboratoriya tizimlari — HVI, AFIS, Uster kabi asboblar — inson ishtirokiga tayanib, vaqt talab etadi va sub’ektivlik ehtimolini kamaytira olmaydi. Shu sababli mashina ko‘rish va chuqur o‘rganish texnologiyalariga asoslangan AI tizimlari tolani sifat bo‘yicha tez, aniq va obyektiv baholash imkonini beradi. CNN (Convolutional Neural Network) modeli yordamida tola uzunligi, nozikligi, rangi, ifloslik darajasi va sirt strukturasini avtomatik tahlil qilish imkoniyatlari ko‘rib chiqilgan. Tadqiqotlar natijasida AI algoritmlarining an’anaviy nazorat usullariga nisbatan yuqori aniqlik (97–99 %) va tezkorlikni ta’minlashi aniqlangan.
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