新型声谱学方法检测鸡蛋壳裂缝的研究。

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

机构信息

Institute of Food Science and Technology, Hungarian University of Agriculture and Life Sciences, 1118 Budapest, Hungary.

Capriovus Kft., 2317 Szigetcsép, Hungary.

出版信息

Molecules. 2021 Aug 3;26(15):4693. doi: 10.3390/molecules26154693.

DOI:10.3390/molecules26154693

PMID:34361851

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8348687/

Abstract

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.

摘要

蛋壳缺陷的无损检测（NDT）对蛋品行业至关重要，因为破损蛋约占总产量的 3%。目前最常用的方法是灯检，这种方法劳动强度大，而计算机视觉系统既昂贵又复杂。本文提出了一种通过声谱学进行蛋壳裂纹检测的简单而有效的新方法。总共对 693 段声音记录进行了不同分类方法的评估。结果显示，经过交叉验证，总的分类错误率为 2.1%，假阳性率仅为 0.87%，这是新鲜鸡蛋的关键指标。将开发的方法应用于工业环境中，可能会产生一种可靠、快速且具有成本效益的检测方法。