A NOVEL METHOD FOR INSPECTION DEFECTS IN COMMERCIAL EGGS USING COMPUTER VISION

A NOVEL METHOD FOR INSPECTION DEFECTS IN COMMERCIAL EGGS USING COMPUTER VISION

The objective of this work is to compare the use of classical image processing approaches with deep learning approaches in a visual inspection system for defects in commercial eggs. Currently, many industries perform the detection of defects in eggs manually, this implies a large number of workers w...

Full description

Bibliographic Details
Main Authors: Y. M. Valencia, J. J. Majin, V. B. Taveira, J. D. Salazar, M. E. Stivanello, L. C. Ferreira, M. R. Stemmer
Format: Article
Language:English
Published: Copernicus Publications 2021-06-01
Series:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIII-B2-2021/809/2021/isprs-archives-XLIII-B2-2021-809-2021.pdf
id doaj-75f70b55ce1e4500b348d23567be2038
record_format Article
spelling doaj-75f70b55ce1e4500b348d23567be20382021-06-29T01:05:06ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342021-06-01XLIII-B2-202180981610.5194/isprs-archives-XLIII-B2-2021-809-2021A NOVEL METHOD FOR INSPECTION DEFECTS IN COMMERCIAL EGGS USING COMPUTER VISIONY. M. Valencia0J. J. Majin1V. B. Taveira2J. D. Salazar3M. E. Stivanello4L. C. Ferreira5M. R. Stemmer6Automation and Systems Department, Universidade Federal de Santa Catarina (UFSC), Florianopólis, SC, BrazilAutomation and Systems Department, Universidade Federal de Santa Catarina (UFSC), Florianopólis, SC, BrazilAutomation and Systems Department, Universidade Federal de Santa Catarina (UFSC), Florianopólis, SC, BrazilMechanical Engineering Department, Labmetro, Universidade Federal de Santa Catarina (UFSC), Florianópolis, SC, BrazilAcademic Department of Metal-Mechanics, Instituto Federal Santa Catarina (IFSC), Florianópolis, SC, BrazilAcademic Department of Metal-Mechanics, Instituto Federal Santa Catarina (IFSC), Florianópolis, SC, BrazilAutomation and Systems Department, Universidade Federal de Santa Catarina (UFSC), Florianopólis, SC, BrazilThe objective of this work is to compare the use of classical image processing approaches with deep learning approaches in a visual inspection system for defects in commercial eggs. Currently, many industries perform the detection of defects in eggs manually, this implies a large number of workers with long working hours who are exposed to visual fatigue and physical and mental discomfort. As a solution, this work proposes to develop an automatic inspection technique for defects in eggs using computer vision, capable of being operable in the industry. Different image processing approaches were evaluated in order to determine the best solution in terms of performance and processing time.https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIII-B2-2021/809/2021/isprs-archives-XLIII-B2-2021-809-2021.pdf
collection DOAJ
language English
format Article
sources DOAJ
author Y. M. Valencia
J. J. Majin
V. B. Taveira
J. D. Salazar
M. E. Stivanello
L. C. Ferreira
M. R. Stemmer
spellingShingle Y. M. Valencia
J. J. Majin
V. B. Taveira
J. D. Salazar
M. E. Stivanello
L. C. Ferreira
M. R. Stemmer
A NOVEL METHOD FOR INSPECTION DEFECTS IN COMMERCIAL EGGS USING COMPUTER VISION
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
author_facet Y. M. Valencia
J. J. Majin
V. B. Taveira
J. D. Salazar
M. E. Stivanello
L. C. Ferreira
M. R. Stemmer
author_sort Y. M. Valencia
title A NOVEL METHOD FOR INSPECTION DEFECTS IN COMMERCIAL EGGS USING COMPUTER VISION
title_short A NOVEL METHOD FOR INSPECTION DEFECTS IN COMMERCIAL EGGS USING COMPUTER VISION
title_full A NOVEL METHOD FOR INSPECTION DEFECTS IN COMMERCIAL EGGS USING COMPUTER VISION
title_fullStr A NOVEL METHOD FOR INSPECTION DEFECTS IN COMMERCIAL EGGS USING COMPUTER VISION
title_full_unstemmed A NOVEL METHOD FOR INSPECTION DEFECTS IN COMMERCIAL EGGS USING COMPUTER VISION
title_sort novel method for inspection defects in commercial eggs using computer vision
publisher Copernicus Publications
series The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
issn 1682-1750
2194-9034
publishDate 2021-06-01
description The objective of this work is to compare the use of classical image processing approaches with deep learning approaches in a visual inspection system for defects in commercial eggs. Currently, many industries perform the detection of defects in eggs manually, this implies a large number of workers with long working hours who are exposed to visual fatigue and physical and mental discomfort. As a solution, this work proposes to develop an automatic inspection technique for defects in eggs using computer vision, capable of being operable in the industry. Different image processing approaches were evaluated in order to determine the best solution in terms of performance and processing time.
url https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIII-B2-2021/809/2021/isprs-archives-XLIII-B2-2021-809-2021.pdf
work_keys_str_mv AT ymvalencia anovelmethodforinspectiondefectsincommercialeggsusingcomputervision
AT jjmajin anovelmethodforinspectiondefectsincommercialeggsusingcomputervision
AT vbtaveira anovelmethodforinspectiondefectsincommercialeggsusingcomputervision
AT jdsalazar anovelmethodforinspectiondefectsincommercialeggsusingcomputervision
AT mestivanello anovelmethodforinspectiondefectsincommercialeggsusingcomputervision
AT lcferreira anovelmethodforinspectiondefectsincommercialeggsusingcomputervision
AT mrstemmer anovelmethodforinspectiondefectsincommercialeggsusingcomputervision
AT ymvalencia novelmethodforinspectiondefectsincommercialeggsusingcomputervision
AT jjmajin novelmethodforinspectiondefectsincommercialeggsusingcomputervision
AT vbtaveira novelmethodforinspectiondefectsincommercialeggsusingcomputervision
AT jdsalazar novelmethodforinspectiondefectsincommercialeggsusingcomputervision
AT mestivanello novelmethodforinspectiondefectsincommercialeggsusingcomputervision
AT lcferreira novelmethodforinspectiondefectsincommercialeggsusingcomputervision
AT mrstemmer novelmethodforinspectiondefectsincommercialeggsusingcomputervision
_version_ 1721355767310712832

Similar Items