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1

Lei, Cheng-Wei, Li Zhang, Tsung-Ming Tai, Chen-Chieh Tsai, Wen-Jyi Hwang, and Yun-Jie Jhang. "Automated Surface Defect Inspection Based on Autoencoders and Fully Convolutional Neural Networks." Applied Sciences 11, no. 17 (2021): 7838. http://dx.doi.org/10.3390/app11177838.

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This study aims to develop a novel automated computer vision algorithm for quality inspection of surfaces with complex patterns. The proposed algorithm is based on both an autoencoder (AE) and a fully convolutional neural network (FCN). The AE is adopted for the self-generation of templates from test targets for defect detection. Because the templates are produced from the test targets, the position alignment issues for the matching operations between templates and test targets can be alleviated. The FCN is employed for the segmentation of a template into a number of coherent regions. Because
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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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Zhou, Chuan Hong, Wei Ren, and Yu Feng Gao. "Research of Visual Inspection and Sorting System of Cigarette Carton Brand." Advanced Materials Research 1039 (October 2014): 163–68. http://dx.doi.org/10.4028/www.scientific.net/amr.1039.163.

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To reduce error inspection rate of the brand inspection in enterprise logistics, this paper puts forward a inspection method which depends on template matching algorithm based on machine vision.This method identifies cigarette carton brand by image processing, first template matching, accurate template matching of real-time carton bar code, then sends message to industrial personal computer to does sorting operation. Practice has proved that the system is stable, fast, accurate to meet the site requirement.
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Rajsic, Jason, Daryl E. Wilson, and Jay Pratt. "The price of information: Increased inspection costs reduce the confirmation bias in visual search." Quarterly Journal of Experimental Psychology 71, no. 4 (2018): 832–49. http://dx.doi.org/10.1080/17470218.2016.1278249.

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In visual search, there is a confirmation bias such that attention is biased towards stimuli that match a target template, which has been attributed to covert costs of updating the templates that guide search [Rajsic, Wilson, & Pratt, 2015. Confirmation bias in visual search. Journal of Experimental Psychology: Human Perception and Performance. Advance online publication. doi:10.1037/xhp0000090]. In order to provide direct evidence for this speculation, the present study increased the cost of inspections in search by using gaze- and mouse-contingent searches, which restrict the manner in w
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Onyejiaka, J. C., S. O. Uzor, and C. K. Anyigor. "An Investigation into Valuation Inspection Templates amongst Estate Surveyors and Valuers in Nigeria." International Journal of Real Estate 1, no. 2 (2025): 1–27. https://doi.org/10.5281/zenodo.15313915.

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This study investigated valuation inspection templates amongst Estate Surveyors and Valuers in Nigeria. The research aims to determine the extent to which Estate Surveyors and Valuers use standard valuation inspection template and to identify the challenges associated. The study utilized a mixed-methods research design, combining both qualitative and quantitative approaches. A total of 260 Estate Surveyors and Valuers respondents were surveyed using a structured questionnaire. The  study  uncovered  the  level  of  adoption  Estate  Surveyors  and&n
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Jean, Jong Hann, Chia Hong Chen, Tyng Bin Huang, and Sheng Hong Tsai. "Development of an Automatic Optical Inspection System and its Application to Defect Examination." Applied Mechanics and Materials 479-480 (December 2013): 636–40. http://dx.doi.org/10.4028/www.scientific.net/amm.479-480.636.

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In this paper, we have designed and integrated an automatic optical inspection system, emphasizing on software implementation of the image processing, measurement and analysis utilities. As for the hardware equipments, we design an LED illumination unit and the custom-tailored machinery. By comparing the support functions of several main import brands of the optical inspection machine, we propose an optical inspecting procedure. By using the Windows-based user interface, we implement nine inspecting software tools, namely, the average gray level tool, the thresholding tool, the positioning too
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Gong, Yun Qiu, and Yang Zhang. "A Method to Get Template for Ultrasonic Inspection." Advanced Materials Research 926-930 (May 2014): 1566–70. http://dx.doi.org/10.4028/www.scientific.net/amr.926-930.1566.

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In order to avoid getting the CAD model of the workpiece repeatedly in ultrasonic inspection, we use a few measurement points on the workpiece and the template to match the position, and use coordinate transformation in CAD template to quickly generate CAD model of the workpiece under test in the scanning system. In this paper, several aspects such as kinematics modeling for mechanical arm, ultrasonic measurement, surface reconstruction and profiling measurement are studied to introduce the specific process of getting a detection template.
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Alexandropoulos, T., S. Boutas, V. Loumos, and E. Kayafas. "Template-guided inspection of arbitrarily oriented targets." IET Computer Vision 2, no. 3 (2008): 150. http://dx.doi.org/10.1049/iet-cvi:20070025.

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9

Yuan, Hailong, Yanxia Zhang, Yue Wu, et al. "A team spectral inspection platform based on ASERA." Proceedings of the International Astronomical Union 12, S325 (2016): 320–23. http://dx.doi.org/10.1017/s174392131601262x.

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AbstractCurrently large sky area spectral surveys like SDSS, 2dF, and LAMOST, using the new generation of telescopes and observatories, have provided massive spectral data sets for astronomical research. Most of the data can be automatically handled with pipelines, but visually inspection by human eyes is still necessary in several situations, like low SNR spectra, QSO recognition and peculiar spectra mining. Using ASERA, A Spectrum Eye Recognition Assistant, we can set up a team spectral inspection platform. On a preselected spectral data set, members of a team can individually view spectra o
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Abe, Yasunori, Toshio Fukuda, Kouetsu Tanaka, et al. "Navigation System for Air Conditioning Equipment Inspection Robot." Journal of Robotics and Mechatronics 7, no. 5 (1995): 354–66. http://dx.doi.org/10.20965/jrm.1995.p0354.

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We have previously proposed a navigation system for autonomous mobile robots that can recognize regular ceiling landmarks. This system can find square air diffusers on ceilings by sensing their multiple-quadrangle characteristics. We have now developed a new system that is able to recognize circular air diffusers. In addition, certain lighting conditions which obstructed recognition in the original system do not interfere with the newly proposed system. Here we applied Fuzzy and Neural Network Logic technology. A pre-processed image of a landmark is compared with a fuzzy template made from the
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FROGGATT, KATHERINE. "The ‘regulated death’: a documentary analysis of the regulation and inspection of dying and death in English care homes for older people." Ageing and Society 27, no. 2 (2007): 233–47. http://dx.doi.org/10.1017/s0144686x06005460.

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In England, processes of regulation and inspection have been established to ensure that older people living in long-term care settings receive quality care. This paper describes how dying and death in care homes for older people is regulated and inspected. A documentary analysis was undertaken of the standard that addresses dying and death in the 2001 Care Homes for Older People: National Minimum Standards. Present in the standard is a ‘good death’ template drawn from constructions of best practice in palliative care. The way in which this national standard is enacted in the inspection process
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Zhang, Yue Jin, Yan Li, and Qiao Xiang Gu. "Research on the Key Technologies of Automatic Inspection Planning of Part Family Based on the Tabular Layouts of Article Characteristics." Applied Mechanics and Materials 66-68 (July 2011): 1330–35. http://dx.doi.org/10.4028/www.scientific.net/amm.66-68.1330.

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Variant design is a common technology in mechanical design, but it’s inefficient to measure the variant parts using the traditional programming methods. In order to get the inspection procedures of variant parts quickly, this article puts forward a method that aims at the automatic inspection planning of customized products, which based on tabular layouts of article characteristics (TLAC). It studies the TLAC of parts which included the tolerance, the main model and its inspection template, and generation of the inspection procedures about parts. The result shows that the method can effectivel
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Zheng, Cheng Yong. "Applied Technology in Printed Circuit Board Inspection Base on Connected Components Matching and Analysis." Advanced Materials Research 1022 (August 2014): 188–92. http://dx.doi.org/10.4028/www.scientific.net/amr.1022.188.

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Template based printed circuit board (PCB) inspection needs aligning the test image to the reference image, but most of the current image alignment methods are very time-consuming. In order to improve the efficiency of PCB inspection, we put forward an image alignment algorithm based on connected components matching, and design a procedure to detect defects and classify defects. Experimental results show that the proposed method achieves good results for real single layer, bare PCB inspection.
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Yu, Quan, and Ke Sheng Wang. "A 3D Vision-Based Quality Inspection Study for Molded Part with Multiple Geometry Shapes." Advanced Materials Research 1039 (October 2014): 529–37. http://dx.doi.org/10.4028/www.scientific.net/amr.1039.529.

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3D vision based quality inspection has been widely applied in manufacturing industry. Product quality is retrieved from the point cloud obtained using 3D vision methods. Generally, three sorts of quality inspection methods can be selected according to the specific requirements. This paper studied a combining quality inspection method for the quality inspection of a plastic molded part with multiple geometry shapes. Only incomplete point cloud is available because of the characteristics of the part material. Shape fitting and template matching methods are applied for deformation detection with
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15

Zhang, Xiaolin, Junjie Liu, Lingqin Bai, Lubo Sun, and Yibo Wang. "Machine vision-based electrical connector pin identification and quality inspection method research." Journal of Physics: Conference Series 3032, no. 1 (2025): 012025. https://doi.org/10.1088/1742-6596/3032/1/012025.

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Abstract The quality of each component in the aerospace industry is integral to the safety of the entire system, with the quality inspection of electrical connectors being a critical aspect of ensuring safety. This paper researches a machine vision-based electrical connector pin automatic identification and quality inspection method for actual engineering needs. Due to the issues of sample scarcity and high computational power consumption associated with deep learning methods, our method uses the captured pin images and employs a template-matching-based algorithm for the automatic recognition
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Lin, Keh-Moh, Horng-Horng Lin, Harshad Kumar Dandage, and Yi-Chun Du. "Pseudo colorization of electroluminescence images of multi-crystalline silicon solar cells for defect inspection." Modern Physics Letters B 33, no. 14n15 (2019): 1940010. http://dx.doi.org/10.1142/s0217984919400104.

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Computer imaging of electroluminescence (EL) has been successfully applied to solar cell inspection in recent years, as EL image intensities reflect the efficiency levels and/or defects in sc-Si and mc-Si solar cells. In this paper, we propose a novel computational scheme for pseudo colorization of EL images to highlight defect regions in solar cells for human inspection. Specifically, given a template EL image and pseudo color labels on its defect regions, we impose the pseudo colors to other grayscale EL images, with respect to different defect types and image structures, by template feature
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Ye, Qian, Nian Cai, Jiaming Li, Feiyang Li, Han Wang, and Xindu Chen. "IC Solder Joint Inspection Based on an Adaptive-Template Method." IEEE Transactions on Components, Packaging and Manufacturing Technology 8, no. 6 (2018): 1121–27. http://dx.doi.org/10.1109/tcpmt.2018.2812815.

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Xie, Pin, and Sheng-Uei Guan. "A golden-template self-generating method for patterned wafer inspection." Machine Vision and Applications 12, no. 3 (2000): 149–56. http://dx.doi.org/10.1007/s001380050133.

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Jia, Liang, Chen Chen, Shoukun Xu, and Ju Shen. "Fabric defect inspection based on lattice segmentation and template statistics." Information Sciences 512 (February 2020): 964–84. http://dx.doi.org/10.1016/j.ins.2019.10.032.

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Cho, Han-Jin, and Tae-Hyoung Park. "Wavelet transform based image template matching for automatic component inspection." International Journal of Advanced Manufacturing Technology 50, no. 9-12 (2010): 1033–39. http://dx.doi.org/10.1007/s00170-010-2567-9.

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Fonseka, Sameera, and J. A. K. S. Jayasinghe. "Feature Extraction and Template Matching Algorithms Classification for PCB Fiducial Verification." Journal of Achievements in Materials and Manufacturing Engineering 1, no. 86 (2018): 14–32. http://dx.doi.org/10.5604/01.3001.0011.6015.

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Automatic Optical Inspection (AOI) systems that are extensively used in the industry of Electronics Manufacturing Services (EMS), performs the inspection of Surface Mount Devices (SMD). One of the main tasks of such an AOI system is to align a given PCB to the parameters of the corresponding PCB positioning system by a process called fiducial alignment. However, no detailed analysis has been carried out so far on the methodologies that can be used to have a very precise identification of PCB fiducial points. In our research, we have implemented an AOI system for the inspection of soldering def
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Lang, Ning, Decheng Wang, Peng Cheng, and Lingxiao Liu. "Rail surface defect inspection via a self-reference template and similarity evaluation." Measurement Science and Technology 33, no. 1 (2021): 015401. http://dx.doi.org/10.1088/1361-6501/ac31ca.

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Abstract Although railway transportation has rapidly evolved in recent times, the existing manual maintenance of rail infrastructure presents several challenges, such as labor intensity and tediousness. Computer vision, as one of the automatic inspection methods, shows promising prospects for railway detection tasks. In this study, we proposed a novel rail surface defect detection method based on a self-reference template and similarity evaluation. Firstly, a self-reference template was generated by extracting the domain information together with the longitudinal direction of the rail image. W
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Sun, Yueping, Zhangmingxian Cao, Weihao Yan, Xueao Lv, Ziheng Zhang, and De’an Zhao. "TSO-HA*-Net: A Hybrid Global Path Planner for the Inspection Vehicles Used in Caged Poultry Houses." Agriculture 15, no. 5 (2025): 532. https://doi.org/10.3390/agriculture15050532.

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Traditional track-based inspection schemes for caged poultry houses face issues with vulnerable tracks and cumbersome maintenance, while existing rail-less alternatives lack robust, reliable path planners. This study proposes TSO-HA*-Net, a hybrid global path planner that combines TSO-HA* with topological planning, which allows the inspection vehicle to continuously traverse a predetermined trackless route within each poultry house and conduct house-to-house inspections. Initially, the spatiotemporally optimized Hybrid A* (TSO-HA*) is employed as the lower-level planner to efficiently construc
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Shang, Zhanhao, Liming Li, Shubin Zheng, Yizhou Mao, and Renjie Shi. "FIQ: A Fastener Inspection and Quantization Method Based on Mask FRCN." Applied Sciences 14, no. 12 (2024): 5267. http://dx.doi.org/10.3390/app14125267.

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Rail-fastening components are essential for ensuring the safety of urban rail systems by securing rails to sleepers. Traditional inspection methods rely heavily on manual labor and are inefficient. This paper introduces a novel approach to address these inefficiencies and the challenges faced by computer vision-based inspections, such as missed detections due to imbalanced samples and limitations in conventional image segmentation techniques. Our approach transitions the industry’s focus from qualitative to a more precise quantitative analysis of rail-fastening components. We propose Mask-FRCN
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Liu, Chang Jie, Jia Jing Pi, and Sheng Hua Ye. "The Template Matching Research Based on Multiple Images Fusion." Advanced Materials Research 655-657 (January 2013): 993–99. http://dx.doi.org/10.4028/www.scientific.net/amr.655-657.993.

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Visual inspection has been widely used in the field of automobile industry. On a car production line, we use an online monitoring system to measure the same feature region of a work piece. Traditionally one picture is chosen as the template and used for other target measurements. However, this method tends to causing measurement error. In this paper a new algorithm is proposed which can generate a better template by multiple pictures. The process is as following: we firstly match the feature area; secondly, the gray information of this area is segmented; then after optimizing a new template is
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Chen, Xiao Hui, and Xiao Jun Liu. "Automatic Inspection of Typical Microstructure Defects Based on Image Processing Techniques." Applied Mechanics and Materials 44-47 (December 2010): 2622–26. http://dx.doi.org/10.4028/www.scientific.net/amm.44-47.2622.

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Micro-structural defects influence the performance of MEMS devices. For effective quality monitoring and assurance in mass-production of MEMS devices, it is necessary to conduct automatic defect inspection. In this paper, an approach based on image processing for automatic microstructure defect inspection is presented. In the approach, an Influence Region Template is built based on a reference microstructure image while it preserves the framework and restrains the tiny distortion of the reference, then the test microstructure image is compared with the Influencing Region Template for quality e
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Chen, Jian Zhe, Gui Tang Wang, Jian Qiang Chen, and Xin Liang Yin. "Automatic Inspection System of Small Plastic Gears Based on Machine Vision." Key Engineering Materials 522 (August 2012): 628–33. http://dx.doi.org/10.4028/www.scientific.net/kem.522.628.

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Small plastic gear is generally made by injection molding.But the injection molding process and mold have problems with missing tooth, shrink, more material, less material and inaccurate roundness and so on. Furthermore, using manual inspection will appear phenomenon of low efficiency, false detection and leak detection. To solve these problems, this paper introduces an automatic inspection system of small plastic gears based on machine vision. The system consists of feeding and sorting machine control system and machine vision inspection system of the gear defects. Mechanical control use digi
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Orachon, Teerapong, and Pattana Intani. "Soda Casket Inspection System by Computer Vision." Advanced Materials Research 622-623 (December 2012): 1425–29. http://dx.doi.org/10.4028/www.scientific.net/amr.622-623.1425.

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Referred to the problem a manufacturer always faces that bottles in a casket are missing, caused by the bottles leaning down. Checking the parceling by human causes high risk from the explosion of the lean-down bottles. So this article presents how computer vision is applied to the inspection system. The system used a low-price webcam and image processing method to identify the defection. The process begins with adjusting HSV up before working on edge detection to reduce density of data. Then cross correlation as template matching to define the bottles and check the number of soda bottles. Thi
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Liu, Wei, Xingzhi Chang, Jiuzhen Liang, Zhenjie Hou, and Li Xu. "Defect inspection research on fabric based on template correction and primitive decomposition." IET Image Processing 13, no. 14 (2019): 2916–28. http://dx.doi.org/10.1049/iet-ipr.2018.6626.

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Crispin, A. J., and V. Rankov. "Automated inspection of PCB components using a genetic algorithm template-matching approach." International Journal of Advanced Manufacturing Technology 35, no. 3-4 (2006): 293–300. http://dx.doi.org/10.1007/s00170-006-0730-0.

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Ryken, Timothy C., John Kim, Brent D. Owen, Gary E. Christensen, and Joseph M. Reinhardt. "Engineering patient-specific drill templates and bioabsorbable posterior cervical plates: a feasibility study." Journal of Neurosurgery: Spine 10, no. 2 (2009): 129–32. http://dx.doi.org/10.3171/2008.11.spi0817677.

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Object The authors describe a method of using computer models to generate customized cervical implants. A promising yet challenging technique in cervical spine surgery involves the use of pedicle screws to assist with posterior instrumentation. Surrounding anatomical structures such as the vertebral arteries and cervical nerve roots present challenges for safe screw placement; however, the use of computer-generated templates seems to be a promising method to assist with placement. In this study, the authors explore the use of computer-generated templates and introduce their methods for creatin
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Feng, Liang Shan, Ying Ping Huang, Zhu Kai Xu, and Yong Zhang. "Image Calibration for Machine Vision Inspection System." Applied Mechanics and Materials 556-562 (May 2014): 2841–45. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.2841.

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Machine vision system has been widely used for a variety of applications in industrial testing and measurements. However, image distortion caused by optical system and system re-positioning will bring errors to the machine vision detection system. This paper addresses on three types of image distortions including optical distortion and perspective deformation, image translation and rotation, and image scale change. To rectify optical distortion and perspective deformation, a black and white grid pattern is used as a standard template for finding the multiple matching points between distorted i
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Zhang, Ya Li, Wei Xia, and Ai Hua Ren. "A Research on Synthesis of Microorganism Template Nano-Selenium Material." Applied Mechanics and Materials 443 (October 2013): 639–42. http://dx.doi.org/10.4028/www.scientific.net/amm.443.639.

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At present there are various kinds of synthetic methods of nanomaterials including physical, chemical and composite method derived from the former two kinds. However, these preparation methods require harsh conditions and produce low yield. Besides, they cause environmental pollution easily. Therefore the microorganism template synthesis is favored highly due to its rich resources, low cost and availability, environmental friendliness and unique configuration and high morphology repeatability. In this thesis E. coli strains are successfully adopted as the template to synthesize nanoselenium ma
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Chen, Hsiang-Chieh. "Automated Detection and Classification of Defective and Abnormal Dies in Wafer Images." Applied Sciences 10, no. 10 (2020): 3423. http://dx.doi.org/10.3390/app10103423.

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This article presents an automated vision-based algorithm for the die-scale inspection of wafer images captured using scanning acoustic tomography (SAT). This algorithm can find defective and abnormal die-scale patterns, and produce a wafer map to visualize the distribution of defects and anomalies on the wafer. The main procedures include standard template extraction, die detection through template matching, pattern candidate prediction through clustering, and pattern classification through deep learning. To conduct the template matching, we first introduce a two-step method to obtain a stand
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BALLKOCI, Sara, Ardiana TOPI, Shahina BEGUM, Shaibal BARUA, Emmanuel WEITEN, and Alba COLLAKU. "Heavy machine parts measurement through deep learning." INGENIOUS 5, no. 1 (2025): 45–64. https://doi.org/10.58944/ihue1983.

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Operational continuity of machinery involves continuously monitoring machinery parts to prevent malfunctions. Recently, it has gained popularity in the heavy industry due to its potential to ensure maintenance and address potential malfunctions before they occur. This project focuses on advancing the "Volvo undercarriage wear inspection and maintenance program." The core of this study is the wear and tear inspection process of the undercarriage parts of Volvo’s excavators and it investigates the implementation of deep learning and machine learning techniques, focusing on detecting the undercar
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Zhou, Xianen, Yaonan Wang, Changyan Xiao, et al. "Automated Visual Inspection of Glass Bottle Bottom With Saliency Detection and Template Matching." IEEE Transactions on Instrumentation and Measurement 68, no. 11 (2019): 4253–67. http://dx.doi.org/10.1109/tim.2018.2886977.

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Wang, Shu Yi, Jie Tan, Xun Chao Yin, and Hui Fang Wang. "Machine Vision System for Inspecting Surgical Blades." Advanced Materials Research 139-141 (October 2010): 2067–71. http://dx.doi.org/10.4028/www.scientific.net/amr.139-141.2067.

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In this paper, a surgical blade inspecting system is designed and researched, which can automatic test and determine eligibility according to tolerances. High precision and non-contact detection of surgical blades based on machine vision is realized by using camera with telecentric lens to obtain the image of surgical blades, by applying template matching technique to automatic match surgical blades. One-dimensional edge of sub-pixel accuracy is extracted by combining the edge filtering of the Deriche filter and parabolic fitting for the maximum range from edge. It can be used for precise meas
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Cristache, Corina Marilena, and Silviu Gurbanescu. "Accuracy Evaluation of a Stereolithographic Surgical Template for Dental Implant Insertion Using 3D Superimposition Protocol." International Journal of Dentistry 2017 (2017): 1–9. http://dx.doi.org/10.1155/2017/4292081.

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The aim of this study was to evaluate the accuracy of a stereolithographic template, with sleeve structure incorporated into the design, for computer-guided dental implant insertion in partially edentulous patients. Materials and Methods. Sixty-five implants were placed in twenty-five consecutive patients with a stereolithographic surgical template. After surgery, digital impression was taken and 3D inaccuracy of implants position at entry point, apex, and angle deviation was measured using an inspection tool software. Mann–Whitney U test was used to compare accuracy between maxillary and mand
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Warraich, Muhammad Khurram Shahzad. "Bridging Legal Gaps in Pakistan’s Industrial Relations and Labor Inspection: A Provincial and Administrative Approach." ACADEMIA International Journal for Social Sciences 4, no. 3 (2025): 515–29. https://doi.org/10.63056/acad.004.03.0390.

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This study interrogates Pakistan’s fragmented labor governance architecture after the Eighteenth Constitutional Amendment, weaving doctrinal analysis with administrative evidence to propose a fiscally realistic reform path. Drawing on statutory provisions, appellate judgments, and original monitoring data from the EU-ILO “Strengthening Labor Inspection System” project, it asks (I) how the Industrial Relations Act 2012 should be recalibrated to restore provincial access for precarious workers and (ii) whether professionalized inspectorates can curb rent-seeking and boost enforcement throughput.
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Chitra, C. "Automatic PCB Verification System through Image Processing using LabVIEW." International Journal for Research in Applied Science and Engineering Technology 13, no. 6 (2025): 3498–503. https://doi.org/10.22214/ijraset.2025.72813.

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Printed Circuit Boards (PCBs) play a vital role in the functionality of all modern electronic devices by providing both mechanical support and electrical connectivity to components. Even minor faults or missing components on a PCB can lead to the failure of the entire electronic system, making accurate inspection crucial during the manufacturing process. Traditional visual inspection methods are time-consuming, error-prone, and inefficient, especially when detecting tiny or hidden defects. To overcome these limitations, this project presents an automated PCB verification system using LabVIEW a
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Muchid, Mochammad. "KEPUTUSAN BERSAMA BERDASARKAN API (ANALYSIS PRODUCT INSPECTION)." Jurnal Ilmiah Teknologi Informasi dan Robotika 2, no. 2 (2020): 13–20. http://dx.doi.org/10.33005/jifti.v2i2.32.

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Pengambilan keputusan sering kali dipertanyakan oleh setiap orang bahkan menjadikan konflik secara internal, dikarenakan penyampaian dan penyajian berbeda, dikarenakan penggunaan serta pengolahan data masih manual. Didalam pengambilan data yang diambil berdasarkan drawing sebagai refrensi yang menjadi permasalahan didalam pengambilan keputusan ini adalah bentuk penyajian data yang disajikan antara satu dengan yang lainnya berbeda, hal inilah yang berdampak pada pengambilan keputusan. Pengambilan keputusan pada intinya memastikan produk tersebut bisa digunakan apa tidak, pengambilan keputusan h
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Cao, Min Hao, and Fei Zhong. "Inspection System for Position of Frame Line in the Mould Based on Machine Vision." Advanced Materials Research 664 (February 2013): 1093–97. http://dx.doi.org/10.4028/www.scientific.net/amr.664.1093.

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In order to meet the online testing requirements in current manufacturing automated production of car foam,the paper proposes a method for detecting the mould that products the foam by using machine vision and introduces the overall solutions of the system. The detection arithmetic mainly includes the image preprocessing、image template matching, interesting region acquisition and the blob detection of image segmentation. The arithmetic is developed in VS2010.Through a series of experiments, the result shows that the arithmetic meets the requirements of inspecting various moulds on the producti
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Meng, Ling Si, Guang Xiu Fang, Hao Xu, and Yan Shu Zheng. "The Analysis on the Example that the Comprehensive Application of Cuplok Scaffolding and Steel Tubular Scaffold with Couplers in Large Span Beam Structure Support." Advanced Materials Research 1044-1045 (October 2014): 589–92. http://dx.doi.org/10.4028/www.scientific.net/amr.1044-1045.589.

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This paper, taking the application of Cuolok Scaffolding and steel tubular scaffold with couplers in large span beam structure support of the chamber building in Ningxin residential community in yanji, jilin province as an example, introducing thedesigning scheme,and measures to guarantee the technology quality . Meanwhile, doing the calculation analysis calculating method,Through the inspection about the sub-projects of scaffold, template, and concrete structure, the construction quality meets the requirements of specification acceptance standard in China, so this approach can be applied to s
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Muchid, Mochammad, Krisnadhi Hariyanto, and Wawan Setia Budi. "Pengambilan Keputusan Berdasarkan Form API (Analysis Product Inspection)." Prosiding Konferensi Nasional Pengabdian Kepada Masyarakat dan Corporate Social Responsibility (PKM-CSR) 3 (December 14, 2020): 77–83. http://dx.doi.org/10.37695/pkmcsr.v3i0.775.

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Pengambilan keputusan sering kali dipertanyakan oleh setiap orang, bahkan menjadikan konfik secara internal didalam perusahaan, yang dikarenakan data penyampaian berbeda-beda, penggunaan data dan pengolahan data ini sumber muaranya. Didalam pengambilan data yang diambil berdasarkan dimensi produk haruslah sama datanya sebab produk tidak mengalami perubahan bentuk ketika dilakukan pengukuran, (pejal) yang menjadi permasalahan didalam pengambilan keputusan ini adalah penyajian data yang disajikan antara satu dengan yang lainnya berbeda, hal inilah yang berdampak pada pengambilan keputusan. Penga
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Deng, Yuan Long, Xiao Xing Zeng, You Fu Geng, and Xue Jin Li. "Inspection of Polymer Polaroid’s Visual Defects with Stripe Light Illumination." Applied Mechanics and Materials 571-572 (June 2014): 747–52. http://dx.doi.org/10.4028/www.scientific.net/amm.571-572.747.

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The visual defects of the polymer polaroid have a direct and serious influence on the quality of TFT-LCD panels. A variety of image detection systems have been proposed and widely used by the manufacturers of polaroid and panels in order to detect the visual defects at the earliest possible stage in the production process. Some slight visual defects, however, are barely visible in the images acquired by a camera when under a common illumination condition. In order to deal with this problem, we present a novel machine vision system in which a stripe light source is introduced to illuminate the
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Xing, Shi Yuan, Yan Qiu Liu, and Yuan Song Zheng. "Research on the Inspection and Mark on the Defects of Printed Matter Based on Template Matching Algorithm." Applied Mechanics and Materials 713-715 (January 2015): 377–80. http://dx.doi.org/10.4028/www.scientific.net/amm.713-715.377.

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Defects inspection of printed matter that combines the image processing technology with printing principle is a kind of automatic detection method for high speed printing. In view of the displacement error, stains wrinkle, fuzzy words in the current printing industry, this paper has adopted template matching algorithm to compare the standard image and the detected image, followed by the neighborhood method to analyze, then extracted the defects and marked the defect location. This study has good anti-noise function and makes detection precision be controlled within 0.5mm×0.5mm.
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Oh, Cheonin, Hyungwoo Kim, and Hyeonjoong Cho. "Rotation Estimation and Segmentation for Patterned Image Vision Inspection." Electronics 10, no. 23 (2021): 3040. http://dx.doi.org/10.3390/electronics10233040.

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Pattern images can be segmented in a template unit for efficient fabric vision inspection; however, segmentation criteria critically affect the segmentation and defect detection performance. To get the undistorted criteria for rotated images, rotation estimation of absolute angle needs to be proceeded. Given that conventional rotation estimations do not satisfy both rotation errors and computation times, patterned fabric defects are detected using manual visual methods. To solve these problems, this study proposes the application of segmentation reference point candidate (SRPC), generated base
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Bressan, Paola, and Guendalina Zucchi. "Human kin recognition is self- rather than family-referential." Biology Letters 5, no. 3 (2009): 336–38. http://dx.doi.org/10.1098/rsbl.2008.0789.

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Inclusive fitness theory predicts that organisms will tend to help close kin more than less related individuals. In a variety of birds and mammals, relatives are recognized by comparing their phenotype to an internal representation or template, which might be learned through either repeated exposure to family members or self-inspection. Mirrors are ubiquitous now, but were absent during our evolutionary history; hence it is hard to predict, and empirically unknown, whether human kin recognition is family- or self-referential. Here we put this issue to the strongest possible test by comparing n
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Zhang, Yu-Xin, and Yuan Zhao. "Studying an improved recursive rough method for three-dimensional visual examination of steel plate butt welding surface quality." Journal of Physics: Conference Series 2760, no. 1 (2024): 012031. http://dx.doi.org/10.1088/1742-6596/2760/1/012031.

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Abstract An improved recursive rough algorithm is proposed to extract feature points in order to address the slow speed and poor accuracy of feature point extraction in 3D visual inspection, as well as the difficulty in meeting the requirements of efficient and quantitative analysis of welded surface quality detection. The preprocessed point cloud is sliced by section. The feature points are obtained according to the improved recursive rough algorithm. The defect evaluation is carried out to obtain the inspection conclusion of the weld appearance defect. Finally, according to the formulated we
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Zhang, Huanlong, Bin Zhou, Yangyang Tian, and Zhe Li. "Segmentation and Tracking Based on Equalized Memory Matching Network and Its Application in Electric Substation Inspection." Algorithms 17, no. 5 (2024): 203. http://dx.doi.org/10.3390/a17050203.

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With the wide application of deep learning, power inspection technology has made great progress. However, substation inspection videos often present challenges such as complex backgrounds, uneven lighting distribution, variations in the appearance of power equipment targets, and occlusions, which increase the difficulty of object segmentation and tracking, thereby adversely affecting the accuracy and reliability of power equipment condition monitoring. In this paper, a pixel-level equalized memory matching network (PEMMN) for power intelligent inspection segmentation and tracking is proposed.
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