BP-YOLO: A Real-Time Product Detection and Shopping Behaviors Recognition Model for Intelligent Unmanned Vending Machine

Intelligent unmanned vending machines (UVMs) based on machine vision have attracted great attention in the unmanned retail industry. However, due to the complexity of practical application scenarios and environments, the existing vision-based intelligent UVMs face challenges related to missed-detect...

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Veröffentlicht in:	IEEE access 2024-01, Vol.12, p.1-1
Hauptverfasser:	Li, Jingxiang, Tang, Fuquan, Zhu, Chao, He, Shiwei, Zhang, Shujin, Su, Yu
Format:	Artikel
Sprache:	eng
Schlagworte:	Autonomous systems Behavioral sciences BlazePose BP-YOLO Complexity Consumer behavior Consumers Costs Customer profiles Feature extraction Formability Infrared detectors Inventory management Luminous intensity Machine vision Noise intensity Object recognition Packaging Pose estimation product detection Real time Real-time systems Shopping shopping behaviors recognition Task analysis unmanned vending machines Vending machines YOLO
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