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Journal articles on the topic 'Automated quality inspection'

Author: Grafiati

Published: 7 June 2025

Last updated: 2 August 2025

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1

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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Prajwal, R. Chaudhari Madhura M. Kalambe Aditi S. Shinde Prof. N. B. Surwase. "Automated Quality Inspection Machine Using Computer Vision." International Journal of Advanced Innovative Technology in Engineering 9, no. 3 (2024): 253–57. https://doi.org/10.5281/zenodo.12647554.

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Quality assurance is critical in manufacturing, yet human error in visually assessing product quality persists due to the tedious nature of the task. While solutions like lean manufacturing have been proposed, Computer Vision offers a promising alternative. This branch of artificial intelligence automates visual perception tasks using techniques such as image processing and neural network training. Currently limited to basic applications due to computational constraints, the future of Computer Vision holds promise for expanding into material property detection, product design analysis, and aut

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Muttamara, Taiyo, Thanawat Sripramai, and Warinthorn K. Evans. "Automated Quality Inspection Control Station For Ceramic Furnace Disk Using Image Detection Techniques." Journal of Physics: Conference Series 3022, no. 1 (2025): 012010. https://doi.org/10.1088/1742-6596/3022/1/012010.

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Abstract The primary focus of this study is to develop the inspection quality control station by applying image processing techniques. The goal is to ensure that the inspection of ceramic furnace disks is within the standards of superiority. Additionally, the aim is to minimize human error in the inspection process by using this proposed station to work parallel with the expert inspector or replace. This research utilized image processing technology, specifically employing edge detection and thresholding techniques using the Python programming language along with OpenCV, to analyses and identi

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Hong Chun, Teo, Ummi Raba’ah Hashim, Sabrina Ahmad, Lizawati Salahuddin, Ngo Hea Choon, and Kasturi Kanchymalay. "A review of the automated timber defect identification approach." International Journal of Electrical and Computer Engineering (IJECE) 13, no. 2 (2023): 2156. http://dx.doi.org/10.11591/ijece.v13i2.pp2156-2166.

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Timber quality control is undoubtedly a very laborious process in the secondary wood industry. Manual inspections by operators are prone to human error, thereby resulting in poor timber quality inspections and low production volumes. The automation of this process using an automated vision inspection (AVI) system integrated with artificial intelligence appears to be the most plausible approach due to its ease of use and minimal operating costs. This paper provides an overview of previous works on the automated inspection of timber surface defects as well as various machine learning and deep le

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Teo, Hong Chun, Raba'ah Hashim Ummi, Ahmad Sabrina, Salahuddin Lizawati, Hea Choon Ngo, and Kanchymalay Kasturi. "A review of the automated timber defect identification approach." International Journal of Electrical and Computer Engineering (IJECE) 13, no. 2 (2023): 2156–66. https://doi.org/10.11591/ijece.v13i2.pp2156-2166.

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Timber quality control is undoubtedly a very laborious process in the secondary wood industry. Manual inspections by operators are prone to human error, thereby resulting in poor timber quality inspections and low production volumes. The automation of this process using an automated vision inspection (AVI) system integrated with artificial intelligence appears to be the most plausible approach due to its ease of use and minimal operating costs. This paper provides an overview of previous works on the automated inspection of timber surface defects as well as various machine learning and deep le

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Araújo, Brenda Kyssara do Rêgo, Alisson Souza Silva, and Reymard Savio Sampaio de Melo. "Method of automated inspection for reinforcement cages of precast concrete elements." PARC: Pesquisa em Arquitetura e Construção 15 (December 12, 2024): e024021. https://doi.org/10.20396/parc.v15i00.8674187.

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Precast concrete elements (PCE), widely used in the construction industry, have advantages over in-situ concreting. Its structural quality depends on the assembly of the reinforcement cages, and it is essential to ensure that they comply with the design before pouring the concrete. However, the existing manual inspection methods depend on the inspector's experience, are subjective and time-consuming, and use measuring devices such as measuring tapes. An inspection method that is efficient, practical, and objective is needed. Previous studies have explored 3D laser scanning technology. However,

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Kommidi, Sandhya, Pallavi Dharwada, Anand K. Gramopadhye, Byung R. Cho, and Lawrence Grimes. "Evaluation of Human Performanace in a Supervisory Inspection Task Monitoring Multiple Hybrid Inspection Systems." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 49, no. 3 (2005): 573–77. http://dx.doi.org/10.1177/154193120504900376.

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The demand for consistent quality has led to 100% inspection using automated systems rather than the traditional sampling with human inspectors. However, these automated systems cannot adapt to novel situations to meet the required performance without human intervention. The need for costeffective and superior inspection performance has resulted in hybrid systems in which the functions are allocated depending on the capabilities of humans and machines. With the increasing availability of computer technology due to decreased costs and size, the role of humans in inspection systems is changing f

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Kryl, Martin, Lukas Danys, Rene Jaros, Radek Martinek, Pavel Kodytek, and Petr Bilik. "Wood Recognition and Quality Imaging Inspection Systems." Journal of Sensors 2020 (September 17, 2020): 1–19. http://dx.doi.org/10.1155/2020/3217126.

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Forestry is an undoubtedly crucial part of today’s industry; thus, automation of certain visual tasks could lead to a significant increase in productivity and reduction of labor costs. Eye fatigue or lack of attention during manual visual inspections can lead to falsely categorized wood, thus leading to major loss of earnings. These mistakes could be eliminated using automated vision inspection systems. This article focuses on the comparison of researched methodologies related to wood type classification and wood defect detection/identification; hence, readers with an intention of building a s

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Hussain, Muhammad, Hussain Al-Aqrabi, Muhammad Munawar, Richard Hill, and Tariq Alsboui. "Domain Feature Mapping with YOLOv7 for Automated Edge-Based Pallet Racking Inspections." Sensors 22, no. 18 (2022): 6927. http://dx.doi.org/10.3390/s22186927.

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Pallet racking is an essential element within warehouses, distribution centers, and manufacturing facilities. To guarantee its safe operation as well as stock protection and personnel safety, pallet racking requires continuous inspections and timely maintenance in the case of damage being discovered. Conventionally, a rack inspection is a manual quality inspection process completed by certified inspectors. The manual process results in operational down-time as well as inspection and certification costs and undiscovered damage due to human error. Inspired by the trend toward smart industrial op

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Lee, Seojoon, Minkyeong Jeong, Chung-Suk Cho, Jaewon Park, and Soonwook Kwon. "Deep Learning-Based PC Member Crack Detection and Quality Inspection Support Technology for the Precise Construction of OSC Projects." Applied Sciences 12, no. 19 (2022): 9810. http://dx.doi.org/10.3390/app12199810.

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Recently, the construction industry has benefited from the increased application of smart construction led by the core technologies of the fourth industrial revolution, such as BIM, AI, modular construction, and AR/VR, which enhance productivity and work efficiency. In addition, the importance of “Off-Site Construction (OSC)”, a factory-based production method, is being highlighted as modular construction increases in the domestic construction market as a means of productivity enhancement. The problem with OSC construction is that the quality inspection of Precast Concrete (PC) members produce

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Ismail, Ahmad Najmuddeen, Nur Aidawaty Rafan, and Nor Affendy Norizan. "Automated defect detection in perfume bottle packaging using machine vision approach for improved quality control." Multidisciplinary Science Journal 7, no. 8 (2025): 2025400. https://doi.org/10.31893/multiscience.2025400.

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In the cosmetic industry, the quality of perfume bottle packaging was essential for both aesthetic appeal and functionality, as plastic bottles were susceptible to defects that could compromise their attractiveness and usability. Traditionally, these bottles were subjected to manual inspection, a method that was both time-consuming and frequently inaccurate. However, the bottle is manufactured with molding techniques prone to have surface defect that impact structural integrity and appearance of the bottles. Machine vision technology is one of the approaches to improve defect identification wi

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Marhoon, Ali F., Ayman N. Salman Younis, and Farooq T. Taha. "Automated Visual Inspection System for Specifying Brick Quality." Journal of Sensor Technology 03, no. 04 (2013): 110–14. http://dx.doi.org/10.4236/jst.2013.34017.

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Bürmen, Miran, Franjo Pernuš, and Boštjan Likar. "Automated optical quality inspection of light emitting diodes." Measurement Science and Technology 17, no. 6 (2006): 1372–78. http://dx.doi.org/10.1088/0957-0233/17/6/013.

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Chua, Yue Le, Hui Leng Choo, Kasoo Raheel Nazimudin, and Eng Wei Lim. "Design and development of an automated glove inspection machine." Journal of Physics: Conference Series 2523, no. 1 (2023): 012007. http://dx.doi.org/10.1088/1742-6596/2523/1/012007.

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Abstract Gloves are commonly used as personal protective equipment (PPE) to protect humans from contact of contamination of chemical substances and infection of disease such as Covid-19. The gloves markets including household gloves upsurged exponentially during the Covid-19 outbreak as the concern and awareness of safety and hygiene rises in the community. Hence, to ensure the safety and reliability of the product, quality control of the gloves must be efficient and accurate. However, most of the household glove manufacturers are still using manual visual inspection for quality control, which

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Lukinac, Jasmina, Kristina Mastanjević, Krešimir Mastanjević, Gjore Nakov, and Marko Jukić. "Computer Vision Method in Beer Quality Evaluation—A Review." Beverages 5, no. 2 (2019): 38. http://dx.doi.org/10.3390/beverages5020038.

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Beers are differentiated mainly according to their visual appearance and their fermentation process. The main quality characteristics of beer are appearance, aroma, flavor, and mouthfeel. Important visual attributes of beer are foam appearance (volume and persistence), as well as the color and clarity. To replace manual inspection, automatic, objective, rapid and repeatable external quality inspection systems, such as computer vision, are becoming very important and necessary. Computer vision is a non-contact optical technique, suitable for the non-destructive evaluation of the food product qu

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Chang, Wen-Chung. "Automated quality inspection of camera zooming with real-time vision." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 232, no. 12 (2017): 2236–41. http://dx.doi.org/10.1177/0954405416683973.

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Industrial automated production technologies have been the research focus of many recent studies, comprising the two research streams of automated assembly and automated product testing. Camera lens-shake detection is an effective way to measure the quality of video cameras during zooming. Conventional testing methods involve time-consuming manual operation procedures. This study proposes a novel automated camera lens-shake detection method, in which real-time visual tracking of two arbitrary features is used to measure and analyze camera zooming quality. The camera lens-shake detection approa

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Wu, Keyi, Samuel A. Prieto, Eyob Mengiste, and Borja García de Soto. "Automated Quality Inspection of Formwork Systems Using 3D Point Cloud Data." Buildings 14, no. 4 (2024): 1177. http://dx.doi.org/10.3390/buildings14041177.

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Ensuring that formwork systems are properly installed is essential for construction safety and quality. They have to comply with specific design requirements and meet strict tolerances regarding the installation of the different members. The current method of quality control during installation mostly relies on manual measuring tools and inspections heavily reliant on the human factor, which could lead to inconsistencies and inaccurate results. This study proposes a way to automate the inspection process and presents a framework within which to measure the spacing of the different members of t

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Arsalan, Zahid. "Proposal of Augmentation Pipeline for Automated Pill Inspection Via YOLOv5." Proposal of Augmentation Pipeline for Automated Pill Inspection Via YOLOv5 9, no. 2 (2024): 8. https://doi.org/10.5281/zenodo.10673266.

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The inspection of pharmaceutical products, especially pills, has become an essential process in the pharmaceutical industry to ensure the quality and safety of medication. The traditional inspection methods are time-consuming and prone to errors. The use of deep learning models such as YOLOv5 has shown promising results in detecting and classifying pills accurately. YOLOv5 is a state-of-the-art object detection model that provides faster and more efficient processing of images with high accuracy rates. In this abstract, we review the recent studies on pill inspection using YOLOv5. We discuss t

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Li, Shuangping, Bin Zhang, Junxing Zheng, Dong Wang, and Zuqiang Liu. "Development of Automated 3D LiDAR System for Dimensional Quality Inspection of Prefabricated Concrete Elements." Sensors 24, no. 23 (2024): 7486. http://dx.doi.org/10.3390/s24237486.

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The dimensional quality inspection of prefabricated concrete (PC) elements is crucial for ensuring overall assembly quality and enhancing on-site construction efficiency. However, current practices remain heavily reliant on manual inspection, which results in high operator dependency and low efficiency. Existing Light Detection and Ranging (LiDAR)-based methods also require skilled professionals for scanning and subsequent point cloud processing, thereby presenting technical challenges. This study developed a 3D LiDAR system for the automatic identification and measurement of the dimensional q

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Khodataeva, Tatiana Sergeevna, Nikolai Vladimirovich Kashirin, Alexandra Ivanovna Averina, and Artyom Evgenyevich Guryanov. "Approaches to the Development of a Printed Circuit Board Defect Detection System Based on AOI Technology." Proceedings of the Institute for System Programming of the RAS 35, no. 4 (2023): 109–20. http://dx.doi.org/10.15514/ispras-2023-35(4)-5.

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Some modern approaches to detecting defects in printed circuit boards based on automatic optical inspection are considered in order to design their own control system. The importance of the control process is growing in connection with the tightening of the requirements imposed by modern production processes. At the enterprises of mass production of electronics, attempts are being made to achieve high quality of all parts, assemblies and finished products. The optical inspection system is one of the most important tools for automating the visual inspection of printed circuits. In addition to e

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Beak, Seunghyo, Yo-Han Han, Yeeun Moon, Jieun Lee, and Jongpil Jeong. "YOLOv7-Based Anomaly Detection Using Intensity and NG Types in Labeling in Cosmetic Manufacturing Processes." Processes 11, no. 8 (2023): 2266. http://dx.doi.org/10.3390/pr11082266.

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The advent of the Fourth Industrial Revolution has revolutionized the manufacturing sector by integrating artificial intelligence into vision inspection systems to improve the efficiency and quality of products. Supervised-learning-based vision inspection systems have emerged as a powerful tool for automated quality control in various industries. During visual inspection or final inspection, a human operator physically inspects a product to determine its condition and categorize it based on their know-how. However, the know-how-based visual inspection process is limited in time and space and i

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Urbonas, Augustas, Vidas Raudonis, Rytis Maskeliūnas, and Robertas Damaševičius. "Automated Identification of Wood Veneer Surface Defects Using Faster Region-Based Convolutional Neural Network with Data Augmentation and Transfer Learning." Applied Sciences 9, no. 22 (2019): 4898. http://dx.doi.org/10.3390/app9224898.

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In the lumber and wood processing industry, most visual quality inspections are still done by trained human operators. Visual inspection is a tedious and repetitive task that involves a high likelihood of human error. Currently, new automated solutions with high-resolution cameras and visual inspection algorithms are being tested, but they are not always fast and accurate enough for real-time industrial applications. This paper proposes an automatic visual inspection system for the location and classification of defects on the wood surface. We adopted a faster region-based convolutional neural

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Sanei, Mahsa, Xinxing Yuan, Fernando Moreu, and Sreenivas Alampalli. "Automated Geometric Quality Inspection of Rebar Layout using RGBD Data." Materials Evaluation 81, no. 1 (2023): 46–55. http://dx.doi.org/10.32548/2023.me-04307.

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Quality control and quality assurance during construction is vital to ensure the structure is built as designed and durable. For reinforced concrete (RC) structures, rebar diameter, spacing, and concrete cover depth are critical in ensuring that the structure is designed for adequate strength and can maintain its service life without unplanned interventions. Once the rebar is laid out in the field, construction inspectors do the required quality control to ensure that the constructed rebar mat matches the design documents. The checks are made at finite points and thus can be improved with curr

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Lu, Rong Sheng, Yan Qiong Shi, Qi Li, and Qing Ping Yu. "AOI Techniques for Surface Defect Inspection." Applied Mechanics and Materials 36 (October 2010): 297–302. http://dx.doi.org/10.4028/www.scientific.net/amm.36.297.

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Recent years, automated optical inspection (AOI) is developed very fast along with the rapid development of the emerging industries of semiconductor, LCD, PCB, optical communication and precision assembly, and also widely used in the industries of robot, automobile, steel, textile, printing, medicine, etc. In this paper, we will take a review of the AOI techniques, which are used for defect inspection on a large surface, such as inspecting the quality of TFT-LCD glass substrate and filter. The AOI system architecture having high inspection speed is illustrated. Some key techniques of light ill

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Lin, Hong-Dar, and Huan-Hua Tsai. "Automated quality inspection of surface defects on touch panels." Journal of the Chinese Institute of Industrial Engineers 29, no. 5 (2012): 291–302. http://dx.doi.org/10.1080/10170669.2012.700528.

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Liu, Xuemin, Wallapak Tavanapong, Johnny Wong, JungHwan Oh, and Piet C. de Groen. "Automated measurement of quality of mucosa inspection for colonoscopy." Procedia Computer Science 1, no. 1 (2010): 951–60. http://dx.doi.org/10.1016/j.procs.2010.04.105.

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Iglesias, C., J. Martínez, and J. Taboada. "Automated vision system for quality inspection of slate slabs." Computers in Industry 99 (August 2018): 119–29. http://dx.doi.org/10.1016/j.compind.2018.03.030.

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Možina, Miha, Dejan Tomaževič, Franjo Pernuš, and Boštjan Likar. "Automated visual inspection of imprint quality of pharmaceutical tablets." Machine Vision and Applications 24, no. 1 (2011): 63–73. http://dx.doi.org/10.1007/s00138-011-0366-4.

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Kumar M B, Punith, Shreekanth T, and Prajwal M R. "Automated Quality Inspection of PCB Assembly Using Image Processing." International Journal of Image, Graphics and Signal Processing 12, no. 3 (2020): 13–19. http://dx.doi.org/10.5815/ijigsp.2020.03.02.

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Ma, Zhiliang, Yu Liu, and Jiayi Li. "Review on automated quality inspection of precast concrete components." Automation in Construction 150 (June 2023): 104828. http://dx.doi.org/10.1016/j.autcon.2023.104828.

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Mohan, Doss Nadarajan, Raghava Sai, Giri Sandeep, Ranjitha.P, and Kumar Depuru Bharani. "Enhancing Warehouse Operations Through Artificial Intelligence: Pallet Damage Classification with Deep Learning Insights." Enhancing Warehouse Operations Through Artificial Intelligence: Pallet Damage Classification with Deep Learning Insights 8, no. 11 (2023): 8. https://doi.org/10.5281/zenodo.10391024.

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Wooden pallets are widely used in the supply chain, yet they are susceptible to damage during storage and transportation. This susceptibility shortens the pallets' service life and results in significant costs due to product loss and pallet replacement. Automated pallet inspection can play a crucial role in identifying and preventing damaged pallets from entering the supply chain. Machine learning models, such as CNNs, SVMs, VGG16, VGG19, MobileNet, DenseNet, and ResNet51, have emerged as promising new approaches for automated pallet inspection. These models can be trained to automatically ide

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Tan, Yi, Silin Li, and Qian Wang. "Automated Geometric Quality Inspection of Prefabricated Housing Units Using BIM and LiDAR." Remote Sensing 12, no. 15 (2020): 2492. http://dx.doi.org/10.3390/rs12152492.

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Traditional quality inspection of prefabricated components is labor intensive, time-consuming, and error prone. This study developed an automated geometric quality inspection technique for prefabricated housing units using building information modeling (BIM) and light detection and ranging (LiDAR). The proposed technique collects the 3D laser scanned data of the prefabricated unit using a LiDAR which contains accurate as-built surface geometries of the prefabricated unit. On the other hand, the BIM model of the prefabricated unit contains the as-designed geometries of the unit. The scanned dat

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Contreras Ortiz, Antonio, Ricardo Rioda Santiago, Daniel E. Hernandez, and Miguel Lopez-Montiel. "Multiclass Evaluation of Vision Transformers for Industrial Welding Defect Detection." Mathematical and Computational Applications 30, no. 2 (2025): 24. https://doi.org/10.3390/mca30020024.

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Automating industrial processes, particularly quality inspection, is a key objective in manufacturing. While welding tasks are frequently automated, inspection processes remain largely manual. Advances in computer vision and AI, especially ViTs, now enable more effective defect detection and classification, offering opportunities to automate these workflows. This study evaluates ViTs for identifying defects in aluminum welding using the Aluminum 5083 TIG dataset. The analysis spans binary classification (detecting defects) and multiclass categorization (Good Weld, Burn Through, Contamination,

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Morrow, C., P. Heinemann, H. Sommer, et al. "AUTOMATED INSPECTION OF FRUITS AND VEGETABLES." HortScience 26, no. 6 (1991): 712B—712. http://dx.doi.org/10.21273/hortsci.26.6.712b.

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Research is described on the development of an automated inspection system which uses digital images and artificial intelligence techniques. Procedures have been developed for evaluating size, shape, and color of apples, potatoes, and mushrooms. Current emphasis is being placed on developing algorithms for detection of surface defects. A major effort will also be expended toward the development of an overall “quality” score for automated inspection of fruit and vegetables. The automated results are compared with those obtained using conventional manual inspection methods. Apples, potatoes, and

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Naddaf-Sh, Sadra, M.-Mahdi Naddaf-Sh, Hassan Zargarzadeh, et al. "Real-Time Explainable Multiclass Object Detection for Quality Assessment in 2-Dimensional Radiography Images." Complexity 2022 (August 8, 2022): 1–17. http://dx.doi.org/10.1155/2022/4637939.

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Quality inspection and defect detection play a critical role in infrastructure safety and integrity specially when it comes to aging infrastructure mostly owned by governments around the world. One of the prevalent inspections performed in the industry is nondestructive testing (NDT) using radiography imaging. Growing demand, shortage of experts, diversity of required skills, and specific regional standards with a time-limited requirement of inspection results make automated inspection an urgent need. Therefore, utilizing artificial intelligence- (AI-) based tools as an assistive technology ha

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Kim, Alexander, Kyuhyup Lee, Seojoon Lee, Jinwoo Song, Soonwook Kwon, and Suwan Chung. "Synthetic Data and Computer-Vision-Based Automated Quality Inspection System for Reused Scaffolding." Applied Sciences 12, no. 19 (2022): 10097. http://dx.doi.org/10.3390/app121910097.

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Regular scaffolding quality inspection is an essential part of construction safety. However, current evaluation methods and quality requirements for temporary structures are based on subjective visual inspection by safety managers. Accordingly, the assessment process and results depend on an inspector’s competence, experience, and human factors, making objective analysis complex. The safety inspections performed by specialized services bring additional costs and increase evaluation times. Therefore, a temporary structure quality and safety evaluation system based on experts’ experience and ind

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Abdallah, Hamdi Ben, Igor Jovančević, Jean-José Orteu, and Ludovic Brèthes. "Automatic Inspection of Aeronautical Mechanical Assemblies by Matching the 3D CAD Model and Real 2D Images." Journal of Imaging 5, no. 10 (2019): 81. http://dx.doi.org/10.3390/jimaging5100081.

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In the aviation industry, automated inspection is essential for ensuring quality of production. It allows acceleration of procedures for quality control of parts or mechanical assemblies. As a result, the demand of intelligent visual inspection systems aimed at ensuring high quality in production lines is increasing. In this work, we address a very common problem in quality control. The problem is verification of presence of the correct part and verification of its position. We address the problem in two parts: first, automatic selection of informative viewpoints before the inspection process

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Dubis, Damian, Andrzej Chochół, Izabela Betlej, Piotr Boruszewski, and Piotr Borysiuk. "Vision Inspection Method for the Quality Assessment of Paint Coatings on Glassware." Materials 17, no. 18 (2024): 4566. http://dx.doi.org/10.3390/ma17184566.

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Image analysis is becoming increasingly popular in many industries. Its use is perfect for, among other things, assessing the quality of products on or off the production line. Highly automated, high-performance systems can be used for this purpose. However, there are situations in which automated vision systems cannot be used on the production line due to the specific nature of the process. One such situation is testing the resistance of paint applied to glass when washing in automatic dishwashers. It is carried out outside the production line, and typical production vision systems are not us

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Ding, Lei, Hongping Zhang, Wei Huang, et al. "An Approach to Checking Map Tiles by Annotation Recognition." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-4-2024 (October 21, 2024): 155–60. http://dx.doi.org/10.5194/isprs-archives-xlviii-4-2024-155-2024.

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Abstract. As the capabilities of geographic information services increase, web geographic information services represented by internet mapping have become increasingly popular, widely used in various location-based services. It is precisely because of the surge in demand that higher requirements have been put forward for the updating and quality control of internet map data. The quality inspection of geographic vector data is relatively well-developed, with many inspection rules and automated processes, but there is a clear deficiency in the quality inspection of map tiles, which mainly relies

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Sun, Hang, Wei-Ting Teo, Kenji Wong, Botao Dong, Jan Polzer, and Xun Xu. "Automating Quality Control on a Shoestring, a Case Study." Machines 12, no. 12 (2024): 904. https://doi.org/10.3390/machines12120904.

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Dependence on manual inspections for quality control often results in errors, especially after prolonged periods of work that heighten the risk of missed defects. There is no shortage of expensive commercial inspection systems that can carry out the quality control work satisfactorily. However, small to medium-sized enterprises (SMEs) often face challenges in adopting these new systems for their production workflows because of the associated integration risks, high cost, and skill complexity. To address these issues, a portable, cost-effective, and automated quality inspection system was devel

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Maurer, M., M. Hofer, F. Fraundorfer, and H. Bischof. "AUTOMATED INSPECTION OF POWER LINE CORRIDORS TO MEASURE VEGETATION UNDERCUT USING UAV-BASED IMAGES." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences IV-2/W3 (August 18, 2017): 33–40. http://dx.doi.org/10.5194/isprs-annals-iv-2-w3-33-2017.

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Power line corridor inspection is a time consuming task that is performed mostly manually. As the development of UAVs made huge progress in recent years, and photogrammetric computer vision systems became well established, it is time to further automate inspection tasks. In this paper we present an automated processing pipeline to inspect vegetation undercuts of power line corridors. For this, the area of inspection is reconstructed, geo-referenced, semantically segmented and inter class distance measurements are calculated. The presented pipeline performs an automated selection of the proper

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