Integrated Imaging and Vision Techniques for Industrial Inspection

Liu, Zheng; Ukida, Hiroyuki; Ramuhalli, Pradeep; Niel, Kurt S.

doi:10.1007/978-1-4471-6741-9

Cited by 257 publications

(4 citation statements)

References 4 publications

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“…In the most recent publications inherent to this matter (44,45), the authors show the best visualizations before the EOF 14 . This point is also very interesting considering that EOF 1 represents the most important variability of the new orthogonal components, EOF 2 contains the second most important variability, and so on.…”

Section: Resultsmentioning

confidence: 99%

Infrared exploration of the architectural heritage: from passive infrared thermography to <em>hybrid</em> infrared thermography (HIRT) approach

Сфарра¹,

Marcucci²,

Ambrosini³

et al. 2016

Mater. construcc.

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Up to now, infrared thermographic approaches have been considered either passive or active. In the latter case, the heat flux is historically attributed to a non-natural heat source. The use of the sun has recently been incorporated into the active approach thanks to multi-temporal inspections. In this paper, an innovative hybrid thermographic (HIRT) approach is illustrated. It combines both the time component and the solar source to obtain quantitative information such as the defect depth. Thermograms were obtained by inspecting the facade of the Santa Maria Collemaggio church (L'Aquila, Italy), whereas quantitative results related to the sub-superficial discontinuities were obtained thanks to the use of advanced techniques. Experimental results linked to passive approach (i.e., the mosaicking procedure of the thermograms) performed by selecting a set of historic churches are also included in order to explain, when and where, the hybrid procedure should be used. RESUMEN: Exploración infrarroja del patrimonio arquitectónico: de la termografía infrarroja pasiva al enfoque de la termografía infrarroja híbrida (HIRT).Hasta la fecha, los enfoques sobre la termografía infrarroja han sido considerados, o pasivos, o activos. En este último caso, el flujo de calor se obtiene a través de una fuente de calor no natural. El uso de energía solar ha sido recientemente incorporado al enfoque activo gracias a los estudios multitemporales. En este trabajo, se ilustra un enfoque innovador de la termografía híbrida (HIRT). Se combina tanto el componente de tiempo y la fuente de energía solar para recuperar la información cuantitativa así como la profundidad del defecto. Las imágenes térmicas se obtuvieron mediante el análisis de la fachada de la Iglesia de Santa María Collemaggio (L'Aquila, Italia), mientras que los resultados cuantitativos inherentes a las discontinuidades sub-superficiales se obtuvieron gracias al uso de otras técnicas avanzadas. Los resultados experimentales vinculados al enfoque pasivo (es decir, el proceso de mosaico de las imágenes térmicas) derivan de un conjunto de Iglesias antiguas, también incluidas en el estudio, a fin de explicar cuándo y dónde tiene sentido realizar un proceso híbrido.

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Section: Resultsmentioning

confidence: 99%

Infrared exploration of the architectural heritage: from passive infrared thermography to <em>hybrid</em> infrared thermography (HIRT) approach

Сфарра¹,

Marcucci²,

Ambrosini³

et al. 2016

Mater. construcc.

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“…Otsu's method is then used for image binarization [29]. According to [30], the best adaptive threshold value 𝑘 * for the method can be calculated at value 𝑑 2 , which is (5). Where m 1 and 𝑚 2 stand for the mean value of segmentation 1 and 2 respectively.…”

Section: Otsu's Binarizationmentioning

confidence: 99%

“…All ACCR systems can be implemented relatively easily, by installing managing software and camera(s) at the port terminals. The system differs from another on the basis of the computational methods that are used to obtain information based on images [5]. A typical ACCR system is programmed with two steps, i.e., code localization followed by recognition.…”

Section: Introductionmentioning

confidence: 99%

Digital transformation for shipping container terminals using automated container code recognition

2023

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Due to the sweeping waves of global industry development, the number of containers passing through terminal ports increases every day. Therefore, it is essential to automate the identification process for the container codes to replace the manual identification for more efficient logistics and safer workplace. This paper aims to design and evaluate the performance of such a system. Specifically, automated container codes recognition (ACCR) has been implemented. This is a novel container tracking model based on image processing algorithms and machine learning (ML) algorithms to be applied in ports. There are three steps in this system: character detection, character isolation, and character recognition. The first step is to identify an area with 10 digits and 26 capitals. After detecting the text area, the second step is to separate the characters. Each character is recognized in the last step by the classification method. In particular, features are extracted with the histogram of oriented gradients (HOG) algorithm and support vector machines (SVMs) for training and prediction. The trained ML model is then used to classify characters and digits according to what it has learned. In general, the digital technologies in logistics and container management in ports will benefit from the proposed algorithms.

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“…Due to the importance of quality inspection, many papers have been published in recent years about the surface inspection in the industry. Computer vision techniques are widely used in many fields [1] as they provide good results in different materials such as fabric [2] or steel [3]. This task is commonly carried out in two steps: first, the surface is acquired using different types of sensors and then the acquired information is processed in order to detect anomalies that are considered defects or which could lead to one.…”

Section: Introductionmentioning

confidence: 99%

Surface Defect System for Long Product Manufacturing Using Differential Topographic Images

Herrero

García

Usamentiaga

2020

Sensors

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Current industrial products must meet quality requirements defined by international standards. Most commercial surface inspection systems give qualitative detections after a long, cumbersome and very expensive configuration process made by the seller company. In this paper, a new surface defect detection method is proposed based on 3D laser reconstruction. The method compares the long products, scan by scan, with their desired shape and produces differential topographic images of the surface at very high speeds. This work proposes a novel method where the values of the pixels in the images have a direct translation to real-world dimensions, which enables a detection based on the tolerances defined by international standards. These images are processed using computer vision techniques to detect defects and filter erroneous detections using both statistical distributions and a multilayer perceptron. Moreover, a systematic configuration procedure is proposed that is repeatable and can be performed by the manufacturer. The method has been tested using train track rails, which reports better results than two photometric systems including one commercial system, in both defect detection and erroneous detection rate. The method has been validated using a surface inspection rail pattern showing excellent performance.

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Integrated Imaging and Vision Techniques for Industrial Inspection

Cited by 257 publications

References 4 publications

Infrared exploration of the architectural heritage: from passive infrared thermography to <em>hybrid</em> infrared thermography (HIRT) approach

Infrared exploration of the architectural heritage: from passive infrared thermography to <em>hybrid</em> infrared thermography (HIRT) approach

Digital transformation for shipping container terminals using automated container code recognition

Surface Defect System for Long Product Manufacturing Using Differential Topographic Images

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