Enhanced YOLOv8 for Efficient Parcel Identification in Disordered Logistics Environments

Enhanced YOLOv8 for Efficient Parcel Identification in Disordered Logistics Environments

Abstract Accurate parcel identification in disordered logistics environments poses significant challenges due to varying package sizes, materials, and orientations. This study presents an improved YOLOv8-Efficiency algorithm tailored for such complex scenarios. The proposed algorithm introduces the...

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Bibliographic Details
Main Authors: Han Yu, Zhang Fengshou, Zhuang Gaoshuai, Qu Yuanhao, He Aohui, Duan Qingyang
Format: Article
Language:English
Published: Springer 2025-04-01
Series:International Journal of Computational Intelligence Systems
Subjects:
Unordered logistics package
Target recognition
YOLOV8
Ablation experiment
Online Access:https://doi.org/10.1007/s44196-025-00794-8
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https://doi.org/10.1007/s44196-025-00794-8

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