An automated inspection station for machine-vision grading of potatoes

Paul H. Heinemann, Niranjan P. Pathare, Charles T. Morrow

Research output: Contribution to journalArticlepeer-review

60 Scopus citations

Abstract

A prototype inspection station based on the United States Department of Agriculture (USDA) inspection standards was developed for potato grading. The station consisted of an imaging chamber, conveyor, camera, sorting unit, and personal computer for image acquisition, analysis, and equipment control. A sample of 9.1 kg (20 1b) of pregraded potatoes were evaluated in three separate experimental runs to assess the system performance. The system correctly classified 80%, 77%, and 88% of the moving potatoes in the three runs at 3 potatoes/min, and 98%, 97%, and 97%, in three runs of stationary potatoes. Shape analysis was adversely affected by the potato motion, and this contributed to the misclassification error.

Original languageEnglish (US)
Pages (from-to)14-19
Number of pages6
JournalMachine Vision and Applications
Volume9
Issue number1
DOIs
StatePublished - Jan 1 1996

All Science Journal Classification (ASJC) codes

  • Software
  • Hardware and Architecture
  • Computer Vision and Pattern Recognition
  • Computer Science Applications

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