Article Details

Title · Authors · Abstract · Keywords · DOI · References

Research on the Application of Visual Recognition Technology in Plate Intelligent Sorting System

ZHANG Zeqing1, HUANG Xuan2, GENG Xiaomin1, YANG Jian1, WANG Lei1, QIU Yongfeng2

(1.Tianjin Intelligent Manufacturing Branch of Offshore Oil Engineering Co., Ltd., Tianjin 300461, China; 2.Hunan Tianqiao Jiacheng Intelligent Technology Co., Ltd., Zhuzhou 412007, China)

Section:Information Application · Vol. 2025, Issue 2 · Pages:139-144 · 2096-4706(2025)02-0139-06 · CLC number:TP311 · Document code:A · DOI:10.19850/j.cnki.2096-4706.2025.02.026

Abstract

An intelligent sorting system based on visual recognition technology is designed to solve the safety hazards, low production efficiency and other problems in the current ocean engineering intelligent production sorting. The system uses visual recognition technology for image acquisition, detection and recognition by controlling the camera, so as to achieve accurate positioning and recognition of the pallet position and parts. The system can interact seamlessly with the sorting system and the truss PLC (Programmable Logic Controller) to obtain the grabbing and stacking data of the workpieces, and guide the truss to perform the corresponding operations. At the same time, the system can also collect and feedback the results of sorting or stacking to tray of the workpieces for the automatic sorting of the sorting system. Through the intelligent sorting process, the automation and intelligence level in the field of ocean engineering intelligent production sorting can be significantly improved.

Keywords

visual recognition technology; intelligent sorting system; Artificial Intelligence; target detection; feature extraction

References

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Funding

Hunan Province High tech Industry Science and Technology Innovation Leading Plan (2021GK4008); The Ministry of Industry and Information Technology's 2023 Intelligent Manufacturing System Solution Unveiling and Leading Project; Key Scientific Research Project of Hunan Provincial Department of Education (21A0356)

About the authors

Zhang Zeqing (1982-), male, Han ethnicity, from Qingdao, Shandong, is a senior engineer with a master's degree. His research interests include marine steel structures and intelligent manufacturing; Corresponding author: Qiu Yongfeng (1985-), male, Han ethnicity, from Loudi, Hunan, senior engineer, PhD, research direction: industrial big data, control systems, intelligent manufacturing.