Acoustic feature extraction and optimization of crack detection for eggshell

Wang, Haijun; Mao, Jianhua; Zhang, Jianyi; Jiang, Huanyu; Wang, Jianping

doi:10.1016/j.jfoodeng.2015.10.030

Cited by 29 publications

(22 citation statements)

References 16 publications

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“…The ESM is a cross-linked fibrous meshwork that lines the ES and is composed of hundreds of bioactive proteins that are a biomaterial resource distinct from the ES mineral ( Ahmed et al, 2019a ). Several inventions have been patented to separate ES from ESM, using proteolytic enzymes ( Liang et al, 2017 ), or based on differences in the physical properties of ES and ESM ( Zhao et al, 2015 ; Wang, 2016c ; Chen J. et al, 2019 ; Sun et al, 2019 ).…”

Section: Collection and Separation Technolgies For Eggshell Wastementioning

confidence: 99%

“…As the inner membrane of the dried ES has strong toughness and tensile resistance, it resists vertical bending and extrusion, while the fragile ES is easily broken into fine particles. The ESM flows out of the screen outlet while fine ES powder flows out of the chute outlet ( Wang, 2016c ). A patent discloses ES separation equipment, which comprises a cylinder containing ESM outlet (cylinder top segment), ES outlet (cylinder bottom segment), water inlet (cylinder middle segment), screen (top of ES outlet), and stirring device (cylinder center).…”

Section: Collection and Separation Technolgies For Eggshell Wastementioning

confidence: 99%

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A Survey of Recent Patents in Engineering Technology for the Screening, Separation and Processing of Eggshell

Ahmed

Younes

et al. 2021

Front. Bioeng. Biotechnol.

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The chicken egg is a well-known complete food of human daily consumption which serves as a cost-effective, high-quality nutrient resource. About 30% of table eggs are directed to breaker plants in developed countries, leading to the generation of substantial eggshell (ES) waste, which is increasingly explored for potential value-added applications. The number of patents describing ES-based applications has increased dramatically in recent years. This review provides insight into the most recent patents published between 2015 and 2020, with focus on different engineering technologies for the screening, separation, and processing of ES. Screening technologies include detection of ES surface spots and glossiness, ES cracks, and mechanical properties, along with identification of chicken breed and enumeration of surface bacterial count. Collection and separation technologies describe separation strategies of ES from egg white (EW), egg yolk (EY), liquid egg, eggshell membrane (ESM), hatchlings, and cooked egg. Separation of ES from liquid eggs utilizes gravity, rotational forces, or air pressure. Processing of ES involves washing and sterilization along with cutting, crushing, and pulverization technologies that enable the collection of ES suitable for value-added applications. In addition, ES carving (mechanical and laser) opens up the realm of artwork and decoration. Furthermore, intact ES can be utilized for food serving. The exponential increase in innovative screening, separation, collection, and processing technologies reflects industrial interest to upscale low-value ES waste material, and is a first crucial step in the emergence of advanced technologies that exploit the biomedical, chemical, engineering, and environmental applications for ES.

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Section: Collection and Separation Technolgies For Eggshell Wastementioning

confidence: 99%

Section: Collection and Separation Technolgies For Eggshell Wastementioning

confidence: 99%

A Survey of Recent Patents in Engineering Technology for the Screening, Separation and Processing of Eggshell

Ahmed

Younes

et al. 2021

Front. Bioeng. Biotechnol.

View full text Add to dashboard Cite

show abstract

“…The quality and intensity of the sound signal produced by a damaged eggshell largely depend on its internal structure (including internal impurities) and the thickness and texture of the eggshell [16,17]. However, previous research has mainly focused on chicken eggs [18,19]. The eggshell structure and thickness of chicken eggs and duck eggs differ [20], thus affecting the response frequency of the sound signals.…”

Section: Broken Egg (Be)mentioning

confidence: 99%

Duck Eggshell Crack Detection by Nondestructive Sonic Measurement and Analysis

Lai

Huang

et al. 2021

Sensors

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Duck eggs are a good source of essential nutrients for the human body. However, transportation, processing, and handling can easily cause cracks in the eggshells. These cracks can lead to microbial contamination, reducing the shelf life and compromising food safety. In this study, a method for the nondestructive testing of cracks in duck eggshells was developed. First, the acoustic emission signals of intact and cracked eggshells were measured, and the most significant frequency features were selected to establish a calibration curve for cracked eggshells. Logistic regression using the frequency features was then adopted to predict intact and cracked eggshells. Then, we establish a set of optimal regression models and used independent samples for verification. The overall accuracy rates of the calibration and prediction models using five frequencies of bandwidth (1500, 5000, 6000, 8500, and 10,000 Hz) were 89.7% and 87.6%, respectively. Sound measurement enables a simple and quantitative method for duck egg crack detection and classification. This nondestructive and cost-effective method can be used for duck egg quality screening and can be integrated into duck egg processing machinery.

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“…Son çalışmaların tanıma sürecinde sınıflandırma algoritması geliştirilmesi üzerine yoğunlaştığı görülmüştür. Yumurta kabuğundaki çatlakların tespiti için akustik sinyal analizi üzerine, Bulanık Mantık [16], Destek Vektör Veri Tanımlaması [17], Destek Vektör Makinaları [18], Lineer Ayrımcılık Analizi [19], YSA [20,21] ve birçok yöntem uygulanmıştır [22][23][24][25]. Uygulanan bu yöntemler neticesinde yumurta kabuğundaki çatlakların tespitinde başarımın % 98.9'a kadar ulaştığı, sistem performansı ve hızının pratikte uygulanabilirliği için iyileştirilmesi gerektiği rapor edilmiştir.…”

Section: Introductionunclassified

Yumurta Kabuğundan Alınan Akustik Sinyalin Dalgacık Paket Dönüşümü ve Entropiye Dayalı Olarak İşlenmesi ve Yapay Sinir Ağlarıyla Çatlağın Belirlenmesi

Balci

Yumurtacı

Yabanova

et al. 2021

Bilecik Şeyh Edebali Üniversitesi Fen Bilimleri Dergisi

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Endüstride birçok üründe ve evlerimizde, vitaminler ve mineraller bakımından zengin olmasından dolayı yumurta yaygın olarak tüketilmektedir. Artan ihtiyacın hızlı bir şekilde karşılanması için tavuk çiftliklerinde yumurtaların toplanması, ağırlıklarına göre sınıflandırılması, sağlam/çatlak olanların ayrılması, paketlenmesi vb. işlemler için otomasyona geçiş yapılmıştır. Kabuğun çatlak olması durumunda içerisine zararlı mikroorganizmalar kolaylıkla girebileceği gibi yumurta içinin havayla temasından dolayı kısa sürede bozulmasına yol açacaktır. Çatlaklar gözle görülebilecek kadar büyük olabildiği gibi bazen de mikro boyutta olmakta insan gözüyle tespit edilememektedir. Bu çalışmada yumurta kabuğunun çatlak/sağlam olması durumunun sinyal işleme ve makine öğrenme tabanlı tespiti gerçekleştirilmiştir. Mekanik sistem vasıtasıyla kabuğa yapılan darbe neticesindeki oluşan akustik sinyal sistemdeki mikrofonla 50kHz örnekleme frekansında 0.2 sn süresince kayıt altına alınmaktadır. Kabuğu sağlam ve çatlak olan ayrı ayrı 50 yumurta verisi düzenekle kayıt altına alınıp veri seti oluşturulmuştur. Yumurta kabuğuna darbenin uygulanma anından sönümlenene kadarki zamanın tespiti için 0.74V eşik değeri kullanılıp bu değerden sonraki 680 veri alınmıştır. Bu verilere db4 ana dalgacığı ile 2. seviyeden Dalgacık Paket Dönüşümü (DPD) uygulanarak farklı frekanslı detay ve yaklaşım bileşenleri çıkartılmıştır. Her bir bileşenin entropi değeri hesaplanarak 1x4 boyutunda özellik vektörü elde edilmiştir. Çıkartımı yapılan özellik vektörünün yumurta kabuğundaki çatlağın tespitindeki etkinliğini belirlemek için Yapay Sinir Ağı (YSA) kullanılmıştır. %100 başarım elde edilmiş olup bir yumurtanın kabuk çatlak/sağlam belirleme süresi yaklaşık olarak 0.216sn'dir.

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Acoustic feature extraction and optimization of crack detection for eggshell

Cited by 29 publications

References 16 publications

A Survey of Recent Patents in Engineering Technology for the Screening, Separation and Processing of Eggshell

A Survey of Recent Patents in Engineering Technology for the Screening, Separation and Processing of Eggshell

Duck Eggshell Crack Detection by Nondestructive Sonic Measurement and Analysis

Yumurta Kabuğundan Alınan Akustik Sinyalin Dalgacık Paket Dönüşümü ve Entropiye Dayalı Olarak İşlenmesi ve Yapay Sinir Ağlarıyla Çatlağın Belirlenmesi

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