Design of an automated corn kernel inspection system for machine vision

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

Design of an automated corn kernel inspection system for machine vision

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

Agricultural and Biological Engineering

Research output: Contribution to journal › Article › peer-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 language	English (US)
Pages (from-to)	491-497
Number of pages	7
Journal	Transactions of the American Society of Agricultural Engineers
Volume	40
Issue number	2
State	Published - 1997

Keywords

Automation
Classification
Corn
Design
Machine vision

ASJC Scopus subject areas

Agricultural and Biological Sciences (miscellaneous)

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AB - 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.

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KW - Classification

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Design of an automated corn kernel inspection system for machine vision

Abstract

Keywords

ASJC Scopus subject areas

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