eprintid: 126
rev_number: 4
eprint_status: archive
userid: 5
dir: disk0/00/00/01/26
datestamp: 2008-01-24
lastmod: 2015-05-29 19:47:49
status_changed: 2009-04-08 16:54:32
type: report
metadata_visibility: show
item_issues_count: 0
creators_name: Kuske, Rachel
creators_name: Lyder, David
creators_name: Samuel, Jonathan
creators_name: Soteros, Chris
creators_name: Wolfe, David
title: Automatic Detection of Egg Shell Cracks
ispublished: pub
subjects: food
subjects: retail
studygroups: ipsw2
companyname: VisionSmart
full_text_status: public
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.
problem_statement: Eggs are prone to make deformities (cracks, pinholes, cage marks etc). It is not practical to manually 'candle' the eggs. One suggestion is to shine a narrow laser at the eggs and measure the resulting illumination. The problem is to devise an algorithm that takes this information and determines deformations.
date: 1998-06-05
date_type: published
citation:   Kuske, Rachel and Lyder, David and Samuel, Jonathan and Soteros, Chris and Wolfe, David  (1998) Automatic Detection of Egg Shell Cracks.  [Study Group Report]     
document_url: http://miis.maths.ox.ac.uk/miis/126/1/villetard.pdf