Design and Implementation of an Integrated Cigarette Recognition System for Tobacco Logistics

This paper presents a deep learning-based cigarette recognition system that integrates image recognition with barcode scanning, enabling compatibility with various package forms. The system leverages the SkipNet architecture combined with the MobileNetV3 feature extraction module to ensure high effi...

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Veröffentlicht in:	2024 IEEE 2nd International Conference on Electrical, Automation and Computer Engineering (ICEACE) S. 1625 - 1630
Hauptverfasser:	Wang, Jinbing, Zhang, Lei, Tang, Qi, Liu, Hui, Wang, Ziyun, Li, Zhaoqing
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 29.12.2024
Schlagworte:	Accuracy Barcode Recognition Deep Learning-based Cigarette Identification Image recognition Logistics Real-time systems Reliability Shape Sorting Systems architecture Tobacco logistics YOLO
Online-Zugang:	Volltext
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