Development of a Novel Acoustic Spectroscopy Method for Detection of Eggshell Cracks

Non-destructive testing (NDT) for eggshell faults is highly important for the egg industry, as cracked eggs account for around 3% of total production. The most commonly used method at present, candling, is labor intensive, while computer vision systems are expensive and complicated. In this paper, w...

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Published inMolecules (Basel, Switzerland) Vol. 26; no. 15; p. 4693
Main Authors Kertész, István, Zsom-Muha, Viktória, András, Rebeka, Horváth, Ferenc, Németh, Csaba, Felföldi, József
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 03.08.2021
MDPI
Subjects
Acoustics
Automation
Business metrics
Classification
Computer vision
crack detection
Cracks
Discriminant analysis
egg
Egg shells
Eggs
eggshell
Fault detection
Flaw detection
non-destructive testing
Nondestructive testing
Principal components analysis
Sound recordings
Spectroscopy
Spectrum analysis
Support vector machines
Vision systems
Wavelet transforms
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Summary:Non-destructive testing (NDT) for eggshell faults is highly important for the egg industry, as cracked eggs account for around 3% of total production. The most commonly used method at present, candling, is labor intensive, while computer vision systems are expensive and complicated. In this paper, we present a simple, yet efficient, novel method for eggshell crack detection by acoustic spectroscopy. Altogether, 693 sound recordings were evaluated by different classification methods. The results show a cross-validated 2.1% total classification error, with only 0.87% false positive rate, which is the crucial metric for fresh eggs. Adapting the developed method to an industrial setting may lead to a reliable, fast and cost-effective detection method.
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ISSN:1420-3049
1420-3049
DOI:10.3390/molecules26154693