Research on positioning method in parcel sorting in disordered logistics

In order to solve the difficult problem of feeding process in the process of disorderly logistics package stacking entering automatic sorting equipment in logistics package sorting industry, an algorithm based on 3D vision to determine the normal vector of three points-projection to determine the position of the central point is proposed, which is used to obtain the position information of the physical and geometric central point on the projection plane of spatial logistics package. The mathematical model of the algorithm is established. The method of calculating the normal vector and the attitude of the center point of the algorithm and the workflow of the algorithm are expounded. In order to verify the accuracy of the proposed algorithm, an experimental method of determining the center point with dual lasers and the spatial pose with dual probes is proposed, and an experimental scene based on 3D vision, industrial robot, dual lasers and PC (Personal Computer) is constructed. The experimental results show that the algorithm can solve the position and attitude information of the physical and geometric center of the projection plane of the target logistics package in the disorderly logistics package stacking, and the maximum positioning error is [Formula: see text], and the average error is [Formula: see text]. The average positioning time is 17.55 ms. The algorithm of determining the normal vector of three points and determining the position of the center point by projection can solve the position information of the physical geometric center of the projection plane of spatial logistics packages, which provides reference for the research of disorderly logistics package sorting technology.

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Publication Details

Journal
Scientific Reports
Published
2026-02-05
DOI
https://doi.org/10.1038/s41598-026-38092-8
Primary Topic
AI and Multimedia in Education
Type
article
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article

Research on positioning method in parcel sorting in disordered logistics

G. J. Zhuang, Fengshou Zhang, Aohui He, Yu Han et al.
Scientific Reports
AI and Multimedia in Education
article

Research on positioning method in parcel sorting in disordered logistics

G. J. Zhuang, Fengshou Zhang, Aohui He, Yu Han, Li Li
article en

Abstract

In order to solve the difficult problem of feeding process in the process of disorderly logistics package stacking entering automatic sorting equipment in logistics package sorting industry, an algorithm based on 3D vision to determine the normal vector of three points-projection to determine the position of the central point is proposed, which is used to obtain the position information of the physical and geometric central point on the projection plane of spatial logistics package. The mathematical model of the algorithm is established. The method of calculating the normal vector and the attitude of the center point of the algorithm and the workflow of the algorithm are expounded. In order to verify the accuracy of the proposed algorithm, an experimental method of determining the center point with dual lasers and the spatial pose with dual probes is proposed, and an experimental scene based on 3D vision, industrial robot, dual lasers and PC (Personal Computer) is constructed. The experimental results show that the algorithm can solve the position and attitude information of the physical and geometric center of the projection plane of the target logistics package in the disorderly logistics package stacking, and the maximum positioning error is [Formula: see text], and the average error is [Formula: see text]. The average positioning time is 17.55 ms. The algorithm of determining the normal vector of three points and determining the position of the center point by projection can solve the position information of the physical geometric center of the projection plane of spatial logistics packages, which provides reference for the research of disorderly logistics package sorting technology.

Scientific ReportsVol. 16(1)
Henan University of Science and Technology (CN), Shenzhen Polytechnic University (CN), China National Petroleum Corporation (China) (CN)
Industry, innovation and infrastructure
Openalex Percentile: Top 66%
AI and Multimedia in Education
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Research on positioning method in parcel sorting in disordered logistics — G. J. Zhuang, Fengshou Zhang, et al. · Scientific Reports (2026) | TGRS Research Map | TGRS