Intelligent sorting equipment and system design of seafood

Authors

JIN Zong-yi, School of Mechanical Engineering and Automation, Dalian Polytechnic University, Dalian, Liaoning 116034 , China
TAO Xue-heng, School of Mechanical Engineering and Automation, Dalian Polytechnic University, Dalian, Liaoning 116034 , China ；National Marine Food Engineering Technology Research Center, Dalian, Liaoning 116034 , China
JIN Yan, School of Mechanical Engineering and Automation, Dalian Polytechnic University, Dalian, Liaoning 116034 , China
FENG Yi-ran, School of Mechanical Engineering and Automation, Dalian Polytechnic University, Dalian, Liaoning 116034 , China
WANG Hui-hui, School of Mechanical Engineering and Automation, Dalian Polytechnic University, Dalian, Liaoning 116034 , China
ZHANG Xu, School of Mechanical Engineering and Automation, Dalian Polytechnic University, Dalian, Liaoning 116034 , China

Abstract

Objective:Aiming at the present situation of low efficiency, low accuracy and high cost in the sorting and processing of fishery industry in China, the intelligent sorting equipment and system of seafood based on robot was developed.Methods:Using the combination of intelligent robot and traditional machinery to develop a new mechanical structure to classify seafood, an intelligent recognition technology based on machine vision was used to classify seafood (the improved novel Faster R-CNN algorithm was adopted for seafood), and an equipment system that could automatically sort seafood intelligently, efficiently was constructed.Results:The improved novel Faster R-CNN algorithm has high detection accuracy in seafood detection.Conclusion:The equipment system can replace the traditional manual operation mode and complete the intelligent sorting process of seafood.

Publication Date

7-7-2022

First Page

75

Last Page

79

DOI

10.13652/j.spjx.1003.5788.2022.90020

Recommended Citation

Zong-yi, JIN; Xue-heng, TAO; Yan, JIN; Yi-ran, FENG; Hui-hui, WANG; and Xu, ZHANG (2022) "Intelligent sorting equipment and system design of seafood," Food and Machinery: Vol. 38: Iss. 3, Article 12.
DOI: 10.13652/j.spjx.1003.5788.2022.90020
Available at: https://www.ifoodmm.cn/journal/vol38/iss3/12

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