ANALYSIS OF SYSTEMS FOR DETECTING SUSPICIOUS PERSONS IN SHOPPING CENTERS
DOI:
https://doi.org/10.47390/ts-v4i4y2026N05Keywords:
suspicious behavior detection, face recognition, biometric identification, YOLOv8, real-time monitoring, computer vision, shopping center security.Abstract
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.
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