Convolutional neural network for industrial egg classification

Ryota Shimizu, Shusuke Yanagawa, Toru Shimizu, Mototsugu Hamada, Tadahiro Kuroda

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

CNN (Convolutional Neural Network) is a powerful method for image classifying tasks. CNN's classifying capability is assessed by using large-scale image dataset such as ImageNet in many papers, but few works on CNN with small-scale dataset have been reported. We have been researching application method of Neural Network for classifying tasks in real-world for years [1]. In this work, we applied CNN to a quality inspection of industrial products and assessed its classifying capacity. Our CNN was trained with 2000 images of eggs taken in a factory, classified the images of almost 89,000 eggs into 6 qualities. Our method of combining multi-angle images into 1 image retained the 3-dimensional features of the object, and improved the classification accuracy to 92.3%. It confirmed that CNN is also effective for the quality inspection of industrial products.

Original languageEnglish
Title of host publicationProceedings - International SoC Design Conference 2017, ISOCC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages67-68
Number of pages2
ISBN (Electronic)9781538622858
DOIs
Publication statusPublished - 2018 May 29
Event14th International SoC Design Conference, ISOCC 2017 - Seoul, Korea, Republic of
Duration: 2017 Nov 52017 Nov 8

Other

Other14th International SoC Design Conference, ISOCC 2017
CountryKorea, Republic of
CitySeoul
Period17/11/517/11/8

    Fingerprint

Keywords

  • Convolutional Neural Network
  • Image Classification
  • Quality Inspection
  • Small-scale Dataset

ASJC Scopus subject areas

  • Hardware and Architecture
  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials

Cite this

Shimizu, R., Yanagawa, S., Shimizu, T., Hamada, M., & Kuroda, T. (2018). Convolutional neural network for industrial egg classification. In Proceedings - International SoC Design Conference 2017, ISOCC 2017 (pp. 67-68). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISOCC.2017.8368830