Academic literature on the topic 'Automated quality inspection'

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Journal articles on the topic "Automated quality inspection"

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Rahman, N. N. S. Abdul, N. M. Saad, A. R. Abdullah, M. R. M. Hassan, M. S. S. M. Basir, and N. S. M. Noor. "Automated Real-Time Vision Quality Inspection Monitoring System." Indonesian Journal of Electrical Engineering and Computer Science 11, no. 2 (2018): 775. http://dx.doi.org/10.11591/ijeecs.v11.i2.pp775-783.

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The requirement of product quality inspection in industries for product standardized leads to a development of the quality inspection system. The problem is related to a manual inspection that is done by a human as an inspector. This paper presents an automated real-time vision quality inspection monitoring system as a problem solver to a manual inspection that is tedious and time-consuming task as well as reducing cost especially in small and medium enterprise industries (SME). For the proposed system, soft drink is used as the test product for quality inspection. The system uses computer-net
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N., N. S. Abdul Rahman, Saad N.M., R. Abdullah A., R. M. Hassan M., S. S. M. Basir M., and S. M. Noor N. "Automated Real-time Vision Quality Inspection Monitoring System." Indonesian Journal of Electrical Engineering and Computer Science 11, no. 2 (2018): 775–83. https://doi.org/10.11591/ijeecs.v11.i2.pp775-783.

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The requirement of product quality inspection in industries for product standardized leads to a development of the quality inspection system. The problem is related to a manual inspection that is done by a human as an inspector. This paper presents an automated real-time vision quality inspection monitoring system as a problem solver to a manual inspection that is tedious and time-consuming task as well as reducing cost especially in small and medium enterprise industries (SME). For the proposed system, soft drink is used as the test product for quality inspection. The system uses computer-net
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Reddy,, D. Sai Eswara. "Online Inspection of Packed Cases." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 01 (2025): 1–9. https://doi.org/10.55041/ijsrem40710.

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This paper presents a novel approach to automate the inspection process of packed agricultural cases using Artificial Intelligence (AI) and image processing techniques. The current manual inspection system, which assesses only 10% of packed cases based on subjective expert judgment, faces limitations such as inefficiency, subjectivity, and an inability to scale. The proposed solution leverages AI models and advanced image processing algorithms to perform real-time, automated inspections of packed cases. The system assesses quality based on predefined parameters like color, ripeness, and unifor
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Gao, Yue Hua, and Bing Luo. "Keyboard Quality Automated Inspection Based on Machine Vision." Advanced Materials Research 765-767 (September 2013): 1877–80. http://dx.doi.org/10.4028/www.scientific.net/amr.765-767.1877.

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Because traditional keyboard quality manual inspection is inefficient and low reliability for subjectivity, machine vision based automated inspection system was developed. Keyboards fine difference in position and rotation angles existing in captured images influenced image matching. Hough transform was applied to detect the edges of keyboards for their image calibration. Many small image templates for each key and a global template for entire keyboard were set up for automated inspecting character printing quality with moderate difference sufferance. Two CCD cameras were used for image captur
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Valikhanov, Jafarkhon Nabikhanovich, Diyora BAkhtier kizi Juraeva, and Sakidjan Kabuldjanovich Khudaiberganov. "CONCEPTUAL MODEL OF AN AUTOMATED CONTROL SYSTEM FOR TROUBLESHOOTING IN RAILWAY TRANSPORT." Modern Scientific Research International Scientific Journal 1, no. 2 (2023): 197–204. https://doi.org/10.5281/zenodo.7932883.

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The article discusses the conceptual model of automated information systems of the automated system of commercial monthly inspection (AS CMI) for the railway transport system. The principles of the model are given, the goals of creating systems are defined, the scheme of user interaction with the AS of the CMI is considered. The automated system of commercial monthly inspection and data analysis allows to improve the quality of monthly inspections, the level of control and responsibility of managers.
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Zhao, Jie, Junwei Chen, Yangze Liang, and Zhao Xu. "Feature Selection-Based Method for Scaffolding Assembly Quality Inspection Using Point Cloud Data." Buildings 14, no. 8 (2024): 2518. http://dx.doi.org/10.3390/buildings14082518.

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The stability of scaffolding structures is crucial for quality management in construction. Currently, scaffolding assembly quality monitoring relies on visual inspections performed by designated on-site personnel, which are highly subjective, inaccurate, and inefficient, hindering the advancement of intelligent construction practices. This study proposes an automated method for scaffolding assembly quality inspection using point cloud data and feature selection algorithms. High-precision point cloud data of the scaffolding are captured by a Trimble X7 3D laser scanner. After registration with
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Tannock, J. D. T., H. Lee, D. R. Cox, and J. H. Sims Williams. "Intelligent Inspection Planning and Computer Aided Inspection." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 207, no. 2 (1993): 99–104. http://dx.doi.org/10.1243/pime_proc_1993_207_068_02.

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Quality inspection is the source of vital information for business control and improvement in manufacturing. This paper describes research at the University of Bristol, in collaboration with Rolls-Royce plc, to develop automated inspection planning and computer aided inspection applications. The inspection planning system involves the representation of inspection features and the manufacturing process model, together with an automated planning mechanism driven by rule-based plan reasoning. The shop-floor computer aided inspection workstation uses hand-held instruments interfaced to a computer,
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Nena, T. D., I. Musonda, and C. S. Okoro. "A Systematic Review of the Benefits of Automation Inspection Tools for Quality Housing Delivery." IOP Conference Series: Materials Science and Engineering 1218, no. 1 (2022): 012002. http://dx.doi.org/10.1088/1757-899x/1218/1/012002.

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Abstract Efficient and effective inspection is vital for the quality delivery of housing construction. Houses are being inspected less frequently due to incapacitated inspectorates, high cost, and the long duration of the current inspection process. Furthermore, traditional inspection processes often contribute to poor quality housing delivery are inspector dependent and complex and unsafe working environment is exposed to inspectors. Automated inspection technologies play a vital role in the inspection of housing construction. Automation-assisted technologies such as laser scanners, drones an
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Bill Tseng, Tzu-Liang, Aditya Chilukuri, Sang C. Park, and Yongjin James Kwon. "Automated quality characterization of 3D printed bone scaffolds." Journal of Computational Design and Engineering 1, no. 3 (2014): 194–201. http://dx.doi.org/10.7315/jcde.2014.019.

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Abstract Optimization of design is an important step in obtaining tissue engineering scaffolds with appropriate shapes and inner microstructures. Different shapes and sizes of scaffolds are modeled using UGS NX 6.0 software with variable pore sizes. The quality issue we are concerned is the scaffold porosity, which is mainly caused by the fabrication inaccuracies. Bone scaffolds are usually characterized using a scanning electron microscope, but this study presents a new automated inspection and classification technique. Due to many numbers and size variations for the pores, the manual inspect
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Mac, Thi Thoa, and Nguyen Thanh Hung. "Automated pill quality inspection using deep learning." International Journal of Modern Physics B 35, no. 14n16 (2021): 2140050. http://dx.doi.org/10.1142/s0217979221400506.

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The pill manufacturing process accrues substantial financial costs due to quality. Pill quality inspection is laborious, time-consuming and subjective, resulting in poor statistical representation and inconsistent results. In this study, we developed an approach that integrates deep learning algorithms and computer-vision-based processing with an optimization algorithm to fully automate the image analysis of internal crack/contamination detection. This approach exploits the features learned by convolutional neural network using various sub-processing techniques and Adam optimization. It achiev
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Dissertations / Theses on the topic "Automated quality inspection"

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Lefley, M. "The automated inspection of knitted fabric." Thesis, De Montfort University, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.380643.

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Cavanough, Gary L. "Automated weld quality monitoring." Thesis, Queensland University of Technology, 1994.

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Boyer, Jacob, Janos C. Keresztes, Wouter Saeys, and John Koshel. "An automated imaging BRDF polarimeter for fruit quality inspection." SPIE-INT SOC OPTICAL ENGINEERING, 2016. http://hdl.handle.net/10150/622517.

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The purpose of this project was to test and implement recent research of polarization and scatter properties that suggest using a cross polarization imaging system to reduce glare artifacts. In particular, the use of this research is to improve the machine vision of apple quality detection in the food industry. The automated measurement system was implemented by acquiring pictures at different angles and different polarization states of apples. The opto-mechanics, system integration, synchronization and data collection are controlled with LabVIEW.
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Alcock, Robert J. "Techniques for automated visual inspection of birch wood boards." Thesis, Cardiff University, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.323153.

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Piepmeier, Jenelle Armstrong. "Textural analysis for defect detection in automated inspection systems." Thesis, Georgia Institute of Technology, 1995. http://hdl.handle.net/1853/19108.

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Freear, Nicholas David. "Automated visual inspection for the quality control of pad printing." Thesis, University of Birmingham, 2002. http://etheses.bham.ac.uk//id/eprint/890/.

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Pad printing is used to decorate consumer goods largely because of its unique ability to apply graphics to doubly curved surfaces. The Intelpadrint project was conceived to develop a better understanding of the process and new printing pads, inks and printers. The thesis deals primarily with the research of a printer control system including machine vision. At present printing is manually controlled. Operator knowledge was gathered for use by an expert system to control the process. A novel local corner- matching algorithm was conceived to effect image segmentation, and neuro-fuzzy techniques
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Zhu, Yuehan. "Automated Supply-Chain Quality Inspection Using Image Analysis and Machine Learning." Thesis, Högskolan Kristianstad, Fakulteten för naturvetenskap, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:hkr:diva-20069.

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An image processing method for automatic quality assurance of Ericsson products is developed. The method consists of taking an image of the product, extract the product labels from the image, OCR the product numbers and make a database lookup to match the mounted product with the customer specification. The engineering innovation of the method developed in this report is that the OCR is performed using machine learning techniques. It is shown that machine learning can produce results that are on par or better than baseline OCR methods. The advantage with a machine learning based approach is th
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Eskenazi, Cem. "An automated visual inspection system for bare hybrid boards /." Thesis, McGill University, 1985. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=63302.

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Leal, James Andrew 1963. "Automated radiographic inspection of through-hole electronic circuit board solder defects." Thesis, The University of Arizona, 1988. http://hdl.handle.net/10150/276672.

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A study has been carried out to investigate the use of "real-time" radiography as a method of automated inspection of through-hole electronic circuit board solder joints. By evaluating five major solder defects it has been found that film radiography employing high contrast film results in a definite distinction between a good solder joint and a defective solder joint. The same five defects were also found to be distinguishable from a good solder joint when evaluated by a real-time radiographic inspection unit using digital image processing. Although the type of defect being investigated was n
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Finney, Graham Barry. "Investigation into the use of neural networks for visual inspection of ceramic tableware." Thesis, Liverpool John Moores University, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.327673.

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Books on the topic "Automated quality inspection"

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1946-, Miller Richard Kendall, ed. Automated inspection and quality assurance. M. Dekker, 1989.

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Clist, Roger. Automated inspection 1992-93: FRST contract C08229, objective 1. Industrial Research, 1993.

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Savage, Robert M. Automated inspection of soldered joints for surface mount technology. National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1993.

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International Conference on Automated Inspection and Product Control. (8th 1987 Chicago, Ill.). Automated inspection and product control: Proceedings of the 8th International Conference 23-25 June 1987, Chicago, USA. IFS (Publications) Ltd., 1987.

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Y, Wu Frederick, Ye Shenghua 1934-, Society of Photo-optical Instrumentation Engineers., Zhongguo guang xue xue hui., and Guo jia zi ran ke xue ji jin wei yuan hui (China), eds. Automated optical inspection for industry: 6-7 November 1996, Beijing, China. SPIE, 1996.

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E, McKee K., ed. Automated inspection and product control: AIPC 8 : proceedings of the 8th international conference, 23-25 June 1987, Chicago, USA. IFS (Publications), 1987.

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International Conference on Automated Inspection and Product Control. (9th 1989 Stuttgart, Germany). Proceedings of the 9th International Conference on Automated Inspection and Product Control: 30-31 May 1989, Stuttgart, West Germany. IFS, 1989.

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W, Chen Michael J., Society of Photo-optical Instrumentation Engineers., and Carnegie-Mellon University. Center for Optical Data Processing., eds. Automated inspection and high speed vision architectures II: 10-11 November, 1988, Cambridge, Massachusetts. SPIE, 1989.

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R, Baker L., Caulfield H. J. 1936-, Sira Limited, Society of Photo-optical Instrumentation Engineers., Association nationale de la recherche technique., and International Symposium on Optical and Optoelectronic Applied Sciences and Engineering (3rd : 1986 : Innsbruck, Austria), eds. Automatic optical inspection: 15-18 April 1986, Innsbruck, Austria. SPIE, 1986.

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Tung-Shuen, Ho Anthony, Rao Sreenivas, Cheng Lee Ming, Society of Photo-optical Instrumentation Engineers., Society of Photo-optical Instrumentation Engineers. Singapore Chapter., and Institute of Physics Singapore, eds. Automatic inspection and novel instrumentation: 25-26 June 1997, Singapore. SPIE, 1997.

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Book chapters on the topic "Automated quality inspection"

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Stout, Ken. "Automated Inspection." In Quality Control in Automation. Springer US, 1985. http://dx.doi.org/10.1007/978-1-4684-7499-2_17.

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Ramkumar, S. Manian, and Immanuel A. Edinbarough. "Web Based Automated Inspection and Quality Management." In Web-Based Control and Robotics Education. Springer Netherlands, 2009. http://dx.doi.org/10.1007/978-90-481-2505-0_14.

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Vivas, C., J. Gómez Ortega, and M. Vargas. "Automated Visual Quality Inspection of Printed Ceramic Dishes." In Advances in Manufacturing. Springer London, 1999. http://dx.doi.org/10.1007/978-1-4471-0855-9_9.

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Belkhedar, Ghizlane, and Abdelouahid Lyhyaoui. "Automated Quality Inspection Using Computer Vision: A Review." In International Conference on Advanced Intelligent Systems for Sustainable Development. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-26384-2_60.

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Poornima, S. Nithya, and V. Shantha. "Automated Testing for Quality Inspection of Food Grains." In Lecture Notes in Mechanical Engineering. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-2188-9_89.

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Schwarzbauer, Thomas, Martin Welk, Chris Mayrhofer, and Rainer Schubert. "Automated Quality Inspection of Microfluidic Chips Using Morphologic Techniques." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38294-9_43.

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Luo, J., Z. Zhang, and H. Ismail. "Computer Vision for Automated Quality Inspection of Colour Printing Products." In Proceedings of the 33rd International MATADOR Conference. Springer London, 2000. http://dx.doi.org/10.1007/978-1-4471-0777-4_45.

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García-Chamizo, Juan Manuel, Andrés Fuster-Guilló, and Jorge Azorín-López. "Simulation of Automated Visual Inspection Systems for Specular Surfaces Quality Control." In Advances in Image and Video Technology. Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-77129-6_64.

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Ali, Syed Sumera, and Sayyad Ajij Dildar. "AI-Based Automated Fruits and Vegetables Quality Inspection for Smart Cities." In Smart Innovation, Systems and Technologies. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-3675-2_6.

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Gounaridou, Apostolia, Evangelia Pantraki, Vasileios Dimitriadis, Athanasios Tsakiris, Dimosthenis Ioannidis, and Dimitrios Tzovaras. "Semi-Automated Visual Quality Control Inspection During Construction or Renovation of Railways Using Deep Learning Techniques and Augmented Reality Visualization." In CONVR 2023 - Proceedings of the 23rd International Conference on Construction Applications of Virtual Reality. Firenze University Press, 2023. http://dx.doi.org/10.36253/979-12-215-0289-3.86.

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The construction industry stands to greatly benefit from the technological advancements in deep learning and computer vision, which can automate time-consuming tasks such as quality control. In this paper, we introduce a framework that incorporates two advanced tools - the Visual Quality Control (VQC) tool and the Digital Twin visualization with Augmented Reality (DigiTAR) tool - to perform semi-automated visual quality control in the construction site during the execution phase of the project. The VQC tool is a backend service that detects potential defects on images captured on-site using th
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Conference papers on the topic "Automated quality inspection"

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Sopauschke, Daniel, Steffen Sauer, Florian Warschewske, and Erik Trostmann. "Automated quality inspection for the manufacturing of highly customized building modules." In Automated Visual Inspection and Machine Vision VI, edited by Michael Heizmann and Thomas Längle. SPIE, 2025. https://doi.org/10.1117/12.3062391.

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Qiu, Xingyang. "Automated quality inspection system based on machine vision." In International Conference on Advances in Computer Vision Research and Applications, edited by Zhonghong Ou and Hui Liu. SPIE, 2025. https://doi.org/10.1117/12.3068802.

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Wiese, Leon, Lennart Hinz, and Eduard Reithmeier. "Estimation of the spatial calibration quality of multicamera systems for tracking surgical instruments in large measuring volumes." In Automated Visual Inspection and Machine Vision VI, edited by Michael Heizmann and Thomas Längle. SPIE, 2025. https://doi.org/10.1117/12.3062621.

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Craig, Patrick, Jonathan Pearson, Shajib Ghosh, Nitin Varshney, Sanjeev J. Koppal, and Navid Asadizanjani. "Optical Automated Interconnect Inspection of Printed Circuit Boards." In ISTFA 2024. ASM International, 2024. http://dx.doi.org/10.31399/asm.cp.istfa2024p0022.

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Abstract In critical fields such as automotive, medicine, and defense, ensuring the reliability of microelectronics has been paramount given the extensive nature of their globalized supply chain. Automated visual inspection (AVI) of printed circuit boards (PCBs) offers a solution through computer vision and deep learning to automate defect detection, component verification, and quality assurance. In this paper, our research follows this precedent by introducing a novel dataset and annotations to train artificial intelligence (AI) models for extracting PCB connectivity components. Utilizing hig
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Ghany, Imaduddin Abdul, Zaqiatud Darojah, Nunik Hariadi Putri, Adytia Darmawan, and Novian Fajar Satria. "Implementation of YOLOv8 Algorithm on Raspberry Pi for Automated PCB Quality Inspection." In 2024 International Electronics Symposium (IES). IEEE, 2024. http://dx.doi.org/10.1109/ies63037.2024.10665865.

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Barman, Trishna, Sonya Coleman, Dermot Kerr, Shane Harrigan, and Justin Quinn. "Advancements in Industrial Visual Inspection: Harnessing Hyperspectral Imaging for Automated Solder Quality Assessment." In 2024 IEEE 22nd International Conference on Industrial Informatics (INDIN). IEEE, 2024. https://doi.org/10.1109/indin58382.2024.10774265.

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Payne, P. Bradford. "How Personal Digital Assistants (PDAs) Can Facilitate the Coatings Assessment Process." In SSPC 2002. SSPC, 2002. https://doi.org/10.5006/s2002-00018.

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Abstract Even in the 21st century, the majority of coating inspections are documented with pencil and paper and later transcribed to official reports. An experienced inspector will occasionally overlook or not record a critical piece of data that can cast doubts on the credibility of the quality assurance for a particular project. Personal Digital Assistants (PDAs) are as compact as a pocket notepad, and inspection protocols can be programmed to ensure complete and accurate data collection. The PDA effective replaces the notepad or clipboard and can be stowed with inspector’s equipment, leavin
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Patruno, Cosimo, Massimiliano Nitti, Chiara Tagliaferri, Luca Mauri, and Vito Renò. "Automated quality inspection of fastening screws for furniture using 3D computer vision and data analysis techniques." In Multimodal Sensing and Artificial Intelligence for Sustainable Future, edited by Claas Falldorf, Francesco Soldovieri, Vittorio Bianco, and Pascal Picart. SPIE, 2025. https://doi.org/10.1117/12.3062240.

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Kaushik, Pratham, Vinay Kukreja, Rasika Chabbra, and Rajat Saini. "Deep Learning-Based Tyre Quality Classification Using ResNet50: A Robust Approach for Automated Inspection and Defect Detection." In 2024 International Conference on Augmented Reality, Intelligent Systems, and Industrial Automation (ARIIA). IEEE, 2024. https://doi.org/10.1109/ariia63345.2024.11051778.

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Kawai, Takazumi, Taiki Kashiwagi, Hiromi Shirahata, Chitoshi Miki, and Masayuki Tai. "Automated Detection and Measurement of Bridge Expansion Joints Using Deep Learning Algorithm and Inspection Vehicles." In IABSE Symposium, Tokyo 2025: Environmentally Friendly Technologies and Structures: Focusing on Sustainable Approaches. International Association for Bridge and Structural Engineering (IABSE), 2025. https://doi.org/10.2749/tokyo.2025.0238.

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<p>This study developed a method to automatically detect bridge expansion joints and measure their opening gaps using a specially equipped inspection vehicle. Various load data were collected and analyzed to support inspection and predictive maintenance. Continuous data collection by the inspection vehicle enables the identification of subtle infrastructure changes. This study employed YOLO, a computer vision-based object detection algorithm, to analyze video data for detecting bridge expansion joints with high confidence. From the detected images, the opening gaps of the joints were mea
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Reports on the topic "Automated quality inspection"

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Cai, Hubo, JungHo Jeon, Xin Xu, Yuxi Zhang, and Liu Yang. Automating the Generation of Construction Checklists. Purdue University, 2020. http://dx.doi.org/10.5703/1288284317273.

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Construction inspection is a critical component of INDOT’s quality assurance (QA) program. Upon receiving an inspection notice/assignment, INDOT inspectors review the plans and specifications to identify the construction quality requirements and conduct their inspections accordingly. This manual approach to gathering inspection requirements from textual documents is time-consuming, subjective, and error-prone. This project addresses this critical issue by developing an inspection requirements database along with a set of tools to automatically gather the inspection requirements and provide fie
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