•  
  •  
 

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

References

[1] 朱蓓薇,陶学恒,王学俊,等.具有分级功能的海参加工线:201310103050.8[P].2013-03-26.ZHU Bei-wei,TAO Xue-heng,WANG Xue-jun,et al.Sea cucumber processing line with grading function:201310103050.8[P].2013-03-26.
[2] 陶学恒,王学俊,韩乔生,等.海产品自动称重分级装置:201520897932.0[P].2015-11-12.TAO Xue-heng,WANG Xue-jun,HAN Qiao-sheng,et al.Automatic weighting and grading device for seafood:201520897932.0[P].2015-11-12.
[3] 胡泽军,项新建,黄炳强,等.基于机器视觉的车道线识别方法[J].科技与创新,2021(11):57-59.HU Ze-jun,XIANG Xin-jian,HUANG Bing-qiang,et al.Lane line recognition method based on machine vision[J].Science and Technology & Innovation,2021(11):57-59.
[4] 谢为俊,魏硕,王凤贺,等.基于机器视觉的胡萝卜表面缺陷识别方法研究[J].农业机械学报,2020,51(11):451-456.XIE Wei-jun,WEI Shuo,WANG Feng-he,et al.Research on carrot surface defect recognition method based on machine vision[J].Transactions of the Chinese Society for Agricultural Machinery,2020,51(11):451-456.
[5] 王文康.发动机零部件清洗用机器人的设计与轨迹规划[D].大连:大连工业大学,2015:15.WANG Wen-kang.Design and trajectory planning of engine parts cleaning robot[D].Dalian:Dalian University of Technology,2015:15.
[6] LIU Y H,WANG Q Q,QIAN X,et al.Nondestructive detection of Flos Lonicerae treated by sulfur fumigation based on hyperspectral imaging[J].Journal of Food Measurement and Characterization,2018,12(1):2 809-2 818.
[7] ZHANG T,WANG B Y,YAN P T,et al.Nondestructive identification of salmon adulteration with water based on hyperspectral data[J].Journal of Food Quality,2018(4):1-10.
[8] WANG H H,WANG K L,WANG B Y,et al.Integration of artificial neural network modeling and hyperspectral data preprocessing for discrimination of colla corii asiniadulteration[J].Journal of Food Quality,2018(13):1-11.
[9] DONG J X,FANG X Y,WANG H H,et al.Abalone muscle texture evaluation and prediction based on TPA experiment[J].Journal of Food Quality,2017(2):1-9.
[10] MA J,SUN D W,PU H B.Spectral absorption index in hyperspectral image analysis for predicting moisture contents in pork longissimus dorsi muscles[J].Food Chemistry,2015,197:848-854.
[11] THOMPSON M.Z-scores and other scores in chemical proficiency testing-their meanings,and some common misconceptions[J].Analytical Methods,2016,8(28):5 553-5 555.
[12] NAN M,LI Y.Improved faster RCNN based on feature amplification and oversampling data augmentation for oriented vehicle detection in aerial images[J].Remote Sensing,2020,12(16):2 558.
[13] LIU Q,KE S,JING P,et al.Identification of bruise and fungi contamination in strawberries using hyperspectral imaging technology and multivariate analysis[J].Food Analytical Methods,2018,11(22):1 518-1 527.
[14] CHEN B L,ZHAO T S,LIU J H,et al.Multipath feature recalibration densenet for image classifification[J].International Journal of Machine Learning and Cybernetics,2021,12(2):1-10.
[15] ZHANG E H,XUE B T,CAO F Z,et al.Fusion of 2D CNN and 3D DenseNet for dynamic gesture recognition[J].Electronics,2019,8(12):1 511.

Share

COinS
 
 

To view the content in your browser, please download Adobe Reader or, alternately,
you may Download the file to your hard drive.

NOTE: The latest versions of Adobe Reader do not support viewing PDF files within Firefox on Mac OS and if you are using a modern (Intel) Mac, there is no official plugin for viewing PDF files within the browser window.