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Zhouxian Lu, Yong Li and Feng Shuang
Due to the low efficiency and safety of a manual insulator inspection, research on intelligent insulator inspections has gained wide attention. However, most existing defect recognition methods extract abstract features of the entire image directly by co...
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Muhammad Hussain
The aim of this research is to develop an automated pallet inspection architecture with two key objectives: high performance with respect to defect classification and computational efficacy, i.e., lightweight footprint. As automated pallet racking via ma...
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Norimitsu Okuyama, Kazufumi Nomura, Tomokazu Sano, Keiji Kadota, Seiya Nitta, Tetsuo Era and Satoru Asai
Blowholes caused by vaporization of the galvanized layer are a problem with galvanized steel sheets, which use lap joint welding. The laser ultrasonic method is the possible solution to realize the desirable 100% inspection instead of the conventional sa...
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Elnaz Ghanbary Kalajahi, Mehran Mahboubkhah and Ahmad Barari
Closed-loop manufacturing is crucial in Industry 4.0, since it provides an online detection?correction cycle to optimize the production line by using the live data provided from the product being manufactured. By integrating the inspection system and man...
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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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Ihar Volkau, Abdul Mujeeb, Wenting Dai, Marius Erdt and Alexei Sourin
Deep learning provides new ways for defect detection in automatic optical inspections (AOI). However, the existing deep learning methods require thousands of images of defects to be used for training the algorithms. It limits the usability of these appro...
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Faezeh Jafari and Sattar Dorafshan
Interpretation of IE data have been carried out by analyzing IE signals in frequency domain to determine the maximum frequency. However, the current peak frequency method can be inaccurate. The purpose of this research is to introduce features in IE sign...
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Jonas Aust, Antonija Mitrovic and Dirk Pons
Background?In aircraft engine maintenance, the majority of parts, including engine blades, are inspected visually for any damage to ensure a safe operation. While this process is called visual inspection, there are other human senses encompassed in this ...
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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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Yan Tao Eugene Chian and Jing Tian
Defect detection in images is a challenging task due to the existence of tiny and noisy patterns on surface images. To tackle this challenge, a defect detection approach is proposed in this paper using statistical data fusion. First, the proposed approac...
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Young-Gyu Kim and Tae-Hyoung Park
The contribution of this paper is to propose a dual-stream convolutional neural network (CNN) using two solder regions for inspections of surface mount technology (SMT) assembly defects. We extract two solder regions from a printed circuit board (PCB) im...
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Haibing Hu, Bo Zhang, Dongjian Xu and Guo Xia
Detecting the defects of a battery on the surface and edge has always been difficult, especially for concave and convex ones, thereby seriously affecting its quality. Thus, sub-regional Gaussian and moving average filtering are innovatively proposed in t...
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Houman Nakhli Mahal, Kai Yang and Asoke K. Nandi
Ultrasonic Guided-wave (UGW) testing of pipelines allows long-range assessment of pipe integrity from a single point of inspection. This technology uses a number of arrays of transducers separated by a distance from each other to generate a single axisym...
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Fanchang Meng, Zili Zhang, Yanhui Kang, Chengjun Cui, Dezhao Wang, Xinxin Zhang and Weihu Zhou
With the advent of the era of big data and the vigorous development of consumer electronics, the demand for higher-speed processing capacity for gigantic amounts of data is increasing; this requires finer and far more numerous connections between dies as...
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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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Jonas Aust, Dirk Pons and Antonija Mitrovic
Background?There are various influence factors that affect visual inspection of aircraft engine blades including type of inspection, defect type, severity level, blade perspective and background colour. The effect of those factors on the inspection perfo...
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Manhuai Lu and Chin-Ling Chen
Surface defects on bearings can directly affect the service life and reduce the performance of equipment. At present, the detection of bearing surface defects is mostly done manually, which is labor-intensive and results in poor stability. To improve the...
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Anil Dogru, Soufiane Bouarfa, Ridwan Arizar and Reyhan Aydogan
Convolutional Neural Networks combined with autonomous drones are increasingly seen as enablers of partially automating the aircraft maintenance visual inspection process. Such an innovative concept can have a significant impact on aircraft operations. T...
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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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Thanh-Hung Nguyen, Huu-Long Nguyen, Ngoc-Tam Bui, Trung-Hieu Bui, Van-Ban Vu, Hoai-Nam Duong and Hong-Hai Hoang
This paper proposes a machine vision system for the surface inspection of black rubber rollers in manufacturing processes. The system aims to enhance the surface quality of the rollers by detecting and classifying defects. A lighting system is installed ...
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