Machine vision systems of eggplant grading system

K. Ninomiya, N. Kondo, V. K. Chong, Mitsuji Monta

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

2 Citations (Scopus)

Abstract

An automated eggplant grading system was introduced in the last paper. The system had three machine vision systems by use of NIR-color camera, 6 normal color cameras and 4 monochrome cameras. The first machine vision system was installed for checking fruits position and orientation on rotary trays, in which a fruit was put between two plates and was turned over, and which made all side fruit inspection possible. If fruit was not in center of the tray, it was necessary to return it back and to put it on the tray again. A CCD camera whose sensitivity was not only visible region but also infrared region was used in this system, because it was easy for infrared camera to detect black color eggplant fruit to discriminate from dark background. The second machine vision system consisted of 6 color CCD cameras to inspect fruit color, size, shape, bruise and disease. The 3 color CCD cameras each were installed before and after turning over in a lane and connected to 2 PCs through 6 image grabber boards. Fruit length, average, max, and min diameters, area, apparent volume, fruit color, calyx color, fruit shape, degree of fruit bend, bruise number, bruise area, and so on were extracted from the images. The third machine vision system consisted of 4 monochrome CCD cameras to check dullness of fruit surface, because dullness was an important index to evaluate fruit internal quality. 4 monochrome cameras were connected to a PC through 2 image grabber boards by occupying two channels each. From working results during a year of 2002-2003, it was observed that it was possible to detect many kinds of defects on eggplant fruit.

Original languageEnglish
Title of host publicationProceedings of the International Conference on Automation Technology for Off-road Equipment, ATOE 2004
EditorsQ. Zhang, M. Iida, A. Mizushima
Pages399-404
Number of pages6
Publication statusPublished - 2004
EventInternational Conference on Automation Technology for Off-road Equipment, ATOE 2004 - Kyoto, Japan
Duration: Oct 7 2004Oct 8 2004

Other

OtherInternational Conference on Automation Technology for Off-road Equipment, ATOE 2004
CountryJapan
CityKyoto
Period10/7/0410/8/04

Fingerprint

Fruits
Computer vision
Color
CCD cameras
Cameras
Infrared radiation
Inspection

Keywords

  • Color camera
  • Eggplant
  • Fruit grading
  • Inspection
  • Machine vision system
  • Monochrome camera

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Ninomiya, K., Kondo, N., Chong, V. K., & Monta, M. (2004). Machine vision systems of eggplant grading system. In Q. Zhang, M. Iida, & A. Mizushima (Eds.), Proceedings of the International Conference on Automation Technology for Off-road Equipment, ATOE 2004 (pp. 399-404). [11D]

Machine vision systems of eggplant grading system. / Ninomiya, K.; Kondo, N.; Chong, V. K.; Monta, Mitsuji.

Proceedings of the International Conference on Automation Technology for Off-road Equipment, ATOE 2004. ed. / Q. Zhang; M. Iida; A. Mizushima. 2004. p. 399-404 11D.

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

Ninomiya, K, Kondo, N, Chong, VK & Monta, M 2004, Machine vision systems of eggplant grading system. in Q Zhang, M Iida & A Mizushima (eds), Proceedings of the International Conference on Automation Technology for Off-road Equipment, ATOE 2004., 11D, pp. 399-404, International Conference on Automation Technology for Off-road Equipment, ATOE 2004, Kyoto, Japan, 10/7/04.
Ninomiya K, Kondo N, Chong VK, Monta M. Machine vision systems of eggplant grading system. In Zhang Q, Iida M, Mizushima A, editors, Proceedings of the International Conference on Automation Technology for Off-road Equipment, ATOE 2004. 2004. p. 399-404. 11D
Ninomiya, K. ; Kondo, N. ; Chong, V. K. ; Monta, Mitsuji. / Machine vision systems of eggplant grading system. Proceedings of the International Conference on Automation Technology for Off-road Equipment, ATOE 2004. editor / Q. Zhang ; M. Iida ; A. Mizushima. 2004. pp. 399-404
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