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Bata Hena, Ziang Wei, Luc Perron, Clemente Ibarra Castanedo and Xavier Maldague
Industrial radiography is a pivotal non-destructive testing (NDT) method that ensures quality and safety in a wide range of industrial sectors. Conventional human-based approaches, however, are prone to challenges in defect detection accuracy and efficie...
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Mateusz Dziubek, Jacek Rysinski and Daniel Jancarczyk
Automated monitoring of cutting tool wear is of paramount importance in the manufacturing industry, as it directly impacts production efficiency and product quality. Traditional manual inspection methods are time-consuming and prone to human error, neces...
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Adi Wibowo, Joga Dharma Setiawan, Hadha Afrisal, Anak Agung Sagung Manik Mahachandra Jayanti Mertha, Sigit Puji Santosa, Kuncoro Budhi Wisnu, Ambar Mardiyoto, Henri Nurrakhman, Boyi Kartiwa and Wahyu Caesarendra
Human eyes generally perform product defect inspection in Indonesian industrial production lines; resulting in low efficiency and a high margin of error due to eye tiredness. Automated quality assessment systems for mass production can utilize deep learn...
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Jonas Aust and Dirk Pons
Background?Aircraft inspection is crucial for safe flight operations and is predominantly performed by human operators, who are unreliable, inconsistent, subjective, and prone to err. Thus, advanced technologies offer the potential to overcome those limi...
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Ivan Kuric, Jaromír Klarák, Vladimír Bulej, Milan Sága, Matej Kandera, Adrián Hajducík and Karol Tucki
The article discusses the possibility of object detector usage in field of automated visual inspection for objects with specific parameters, specifically various types of defects occurring on the surface of a car tire. Due to the insufficient amount of i...
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Jonas Aust, Sam Shankland, Dirk Pons, Ramakrishnan Mukundan and Antonija Mitrovic
Background?In the field of aviation, maintenance and inspections of engines are vitally important in ensuring the safe functionality of fault-free aircrafts. There is value in exploring automated defect detection systems that can assist in this process. ...
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Chao-Ching Ho, Eugene Su, Po-Chieh Li, Matthew J. Bolger, Huan-Ning Pan
Pág. 76 - 83
This study develops an automated optical inspection system for silicone rubber gaskets using traditional rule-based and deep learning detection techniques. The specific object of interest is a 5 mm × 10 mm × 5 mm mobile device power supply connecto...
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Hafiz Suliman Munawar, Ahmed W. A. Hammad, Assed Haddad, Carlos Alberto Pereira Soares and S. Travis Waller
Annually, millions of dollars are spent to carry out defect detection in key infrastructure including roads, bridges, and buildings. The aftermath of natural disasters like floods and earthquakes leads to severe damage to the urban infrastructure. Mainte...
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Zhi-Hao Chen and Jyh-Ching Juang
To ensure safety in aircraft flying, we aimed to use deep learning methods of nondestructive examination with multiple defect detection paradigms for X-ray image detection. The use of the fast region-based convolutional neural network (Fast R-CNN)-driven...
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Olha Baranova,Mykola Vasylenko,Konstantin Shevchenko,Yuriy Tsapko,Oliinyk Rostislav,Andrii Yeroshenko
Pág. 48 - 56
It has been determined that the most expedient and economically beneficial flaw detection method for plywood is the impact method. Samples of plywood with and without a defect were used for the research. Among the acoustic techniques, the most accurate i...
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