This paper proposes an artificial intelligence system for detecting suspicious individuals in shopping centers and matching them with a database. Using the YOLOv8 model, real-time detection, face recognition, and gender classification are performed. Experimental results demonstrate high accuracy and efficiency of the system.
| Mualliflar | Babadjanov , Elmurod, Maxamatdinov , Abdul-Aziz, Gaipnazarova , Lobar |
|---|---|
| Jurnal | Techscience.uz - техника фанлари долзарб масалалри |
| Nashr sanasi | 2026-04-25 |
| Jild | 4 |
| Son | 4 |
| Betlar | 35-41 |
| Til | O‘zbek |
| DOI | 10.47390/ts-v4i4y2026n05 |
DOI: 10.47390/ts-v4i4y2026n05 · Maqolaning asl sahifasi
suspicious behavior detection, face recognition, biometric identification, YOLOv8, real-time monitoring, computer vision, shopping center security., shubhali harakatlarni aniqlash, yuzni aniqlash, biometrik identifikatsiya, YOLOv8, real vaqt monitoringi, kompyuter ko‘rish, savdo markazi xavfsizligi.
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