Design of an automated corn kernel inspection system for machine vision

B. Ni, Marvin R Paulsen, K. Liao, J. F. Reid

Research output: Contribution to journalArticlepeer-review

Abstract

A prototype machine vision system for automatically inspecting corn kernels was designed and built. A strobe light was used to eliminate image blur due to the motion of corn kernels. Kernel singulation and the synchronization of strobe firing with the image acquisition were achieved by using optical sensors. Control circuitry was designed to enable synchronization of strobe firing to the vertical blanking period of the camera. Corn kernels of random orientation were inspected for whole versus broken percentages and on-line tests had successful classification rates of 91% and 94%for whole and broken kernels, respectively.

Original languageEnglish (US)
Pages (from-to)491-497
Number of pages7
JournalTransactions of the American Society of Agricultural Engineers
Volume40
Issue number2
StatePublished - 1997

Keywords

  • Automation
  • Classification
  • Corn
  • Design
  • Machine vision

ASJC Scopus subject areas

  • Agricultural and Biological Sciences (miscellaneous)

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