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Automatic Detection of Egg Shell Cracks

By Rachel Kuske, David Lyder, Jonathan Samuel, Chris Soteros and David Wolfe

Abstract

The challenge was to find a reliable, non-intrusive means of detecting cracks in eggs. Intensity data from eggs were collected by VisionSmart for the group to analyse. Given the short time period three main questions were addressed. 1) Is there a feature of the intensity data which detects, and discriminates between pinholes, cage marks and cracks? 2) Are there ways to improve the current data collection process? 3) Are there other data collection methods which should be tried? A partial positive response to 1) is presented and describes the many problems that arose. Some answers to 2) and 3) are also presented

Topics: Food and Drink, Retail
Year: 1998
OAI identifier: oai:generic.eprints.org:126/core70

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