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Machine vision-based automatic fruit quality detection and grading

Frontiers of Agricultural Science and Engineering doi: 10.15302/J-FASE-2023532

Abstract:

● A machine vision-based prototype system was developed for fruit grading

Keywords： Computer and machine vision     convolution neural network     deep learning     defective fruit detection     fruit    

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Research and application of visual location technology for solder paste printing based on machine vision

Luosi WEI, Zongxia JIAO

Frontiers of Mechanical Engineering 2009, Volume 4, Issue 2,   Pages 184-191 doi: 10.1007/s11465-009-0034-9

Abstract: Using machine vision technology to complete the location mission is new and very efficient.This paper presents an integrated visual location system for solder paste printing based on machine vision

Keywords： machine vision     visual location     solder paste printing     VisionPro    

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Advances in Computer Vision-Based Civil Infrastructure Inspection and Monitoring Review

Billie F. Spencer Jr.,Vedhus Hoskere,Yasutaka Narazaki

Engineering 2019, Volume 5, Issue 2,   Pages 199-222 doi: 10.1016/j.eng.2018.11.030

Abstract:

Computer vision techniques, in conjunction with acquisition through remote cameras and unmanned aerialThis paper provides an overview of recent advances in computer vision techniques as they apply to theIn particular, relevant research in the fields of computer vision, machine learning, and structural engineeringSubsequently, some of the key challenges that persist towards the goal of automated vision-based civil

Keywords： Structural inspection and monitoring     Artificial intelligence     Computer vision     Machine learning     Optical    

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Visual interactive image clustering: a target-independent approach for configuration optimization in machinevision measurement Research Article

Lvhan PAN, Guodao SUN, Baofeng CHANG, Wang XIA, Qi JIANG, Jingwei TANG, Ronghua LIANG

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 3,   Pages 355-372 doi: 10.1631/FITEE.2200547

Abstract: (MVM) is an essential approach that measures the area or length of a target efficiently and non-destructively for product quality control. The result of MVM is determined by its configuration, especially the in image acquisition and the algorithmic in image processing. In a traditional workflow, engineers constantly adjust and verify the configuration for an acceptable result, which is time-consuming and significantly depends on expertise. To address these challenges, we propose a target-independent approach, , which facilitates configuration optimization by grouping images into different clusters to suggest lighting schemes with common parameters. Our approach has four steps: data preparation, data sampling, data processing, and visual analysis with our visualization system. During preparation, engineers design several candidate lighting schemes to acquire images and develop an algorithm to process images. Our approach samples engineer-defined parameters for each image and obtains results by executing the algorithm. The core of data processing is the explainable measurement of the relationships among images using the algorithmic parameters. Based on the image relationships, we develop VMExplorer, a visual analytics system that assists engineers in grouping images into clusters and exploring parameters. Finally, engineers can determine an appropriate lighting scheme with robust parameter combinations. To demonstrate the effectiveness and usability of our approach, we conduct a case study with engineers and obtain feedback from expert interviews.

Keywords： Machine vision measurement     Lighting scheme design     Parameter optimization     Visual interactive image    

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Engineering in the Field of Vision of Philosophy

Yin Ruiyu

Strategic Study of CAE 2008, Volume 10, Issue 3,   Pages 4-8

Abstract:

Through a study on materialist conception of history, it is indicated that engineering is a basic practical activity during humanity existence and development, and always a direct productivity at different historical periods. The engineering activity appeared before science activity. It is also believed that the knowledge and activity which relates to nature should be divided into three components of science, technology and engineering.The main characters of the science activity are "exploration"  and "discovery" , the main characters of the technology activity are "invention"  and " innovation" , and the main characters of the engineering activity are "integration"  and " construction" . From a point of view of modern knowledge, a related knowledge chain (knowledge network) exists among science-technology-engineering-industry. The relationship between engineering and industry is more direct and closes.The engineering is a practical activity of humanity for maintaining existence, multiplication and development, and constructing "homeland"  and "living"  well, and is also an embodiment of human wisdom and seeked "ideal" . From a point of view of philosophy, the result of the engineering activity usually embodies in constructing a new existence, i.e. an integrator of optimized construction under a certain boundary condition. Engineering integration contains various technical element integration, and also contains optimization-integration of technical element and basic elements of economics, society and management under a certain condition.Under a condition of new century, engineering is an important field of innovation activity, should be a new field of philosophy consideration. The transcendence of philosophy and engineering exists various "intermingling"  and "merging" . Therefore, engineering needs philosophy, and philosophy needs to face engineering. An interaction of engineering and philosophy is a feature raising in the Chinese engineering philosophy.

Keywords： engineering     field of vision of philosophy    

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Current applications of artificial intelligence for intraoperative decision support in surgery

Allison J. Navarrete-Welton, Daniel A. Hashimoto

Frontiers of Medicine 2020, Volume 14, Issue 4,   Pages 369-381 doi: 10.1007/s11684-020-0784-7

Abstract: Research into medical artificial intelligence (AI) has made significant advances in recent years, including surgical applications. This scoping review investigated AI-based decision support systems targeted at the intraoperative phase of surgery and found a wide range of technological approaches applied across several surgical specialties. Within the twenty-one ( =21) included papers, three main categories of motivations were identified for developing such technologies: (1) augmenting the information available to surgeons, (2) accelerating intraoperative pathology, and (3) recommending surgical steps. While many of the proposals hold promise for improving patient outcomes, important methodological shortcomings were observed in most of the reviewed papers that made it difficult to assess the clinical significance of the reported performance statistics. Despite limitations, the current state of this field suggests that a number of opportunities exist for future researchers and clinicians to work on AI for surgical decision support with exciting implications for improving surgical care.

Keywords： intelligence     decision support     clinical decision support systems     intraoperative     deep learning     computer vision     machine learning     surgery    

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Real-time monitoring of brake shoe keys in freight cars

Rong ZOU,Zhen-ying XU,Jin-yang LI,Fu-qiang ZHOU

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 3,   Pages 191-204 doi: 10.1631/FITEE.1400305

Abstract: With the development of machine vision technology, visual inspection has become a principal means of

Keywords： Condition monitoring     Feature expression     Brake shoe key     Machine vision    

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Digital twin for healthy indoor environment: A vision for the post-pandemic era

Frontiers of Engineering Management 2023, Volume 10, Issue 2,   Pages 300-318 doi: 10.1007/s42524-022-0244-y

Abstract: Moreover, this paper elaborates a vision for future research on integrated digital twins for a healthy

Keywords： digital twin     healthy indoor environment     building information modeling     occupant–building interaction     COVID-19    

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Evaluation of computer vision techniques for automated hardhat detection in indoor construction safety

Bahaa Eddine MNEYMNEH, Mohamad ABBAS, Hiam KHOURY

Frontiers of Engineering Management 2018, Volume 5, Issue 2,   Pages 227-239 doi: 10.15302/J-FEM-2018071

Abstract: Using images captured from indoor jobsites, this paper evaluates existing computer vision techniques,

Keywords： construction     safety     personal protective equipment     hardhat     computer vision    

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Laser vision sensing based on adaptive welding for aluminum alloy

CHEN Zhixiang, SONG Yonglun, ZHANG Jun, ZHANG Wanchun, JIANG Li, XIA Xuxin

Frontiers of Mechanical Engineering 2007, Volume 2, Issue 2,   Pages 218-223 doi: 10.1007/s11465-007-0038-2

Abstract: A laser vision sensing based on the adaptive tungsten inert gas (TIG) welding system for large-scaleA new type of laser vision sensor was used to precisely measure the weld groove.

Keywords： adjustment     adaptive tungsten     transverse alignment     large-scale aluminum     geometry    

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1000× Faster Camera and Machine Vision with Ordinary Devices Article

Tiejun Huang, Yajing Zheng, Zhaofei Yu, Rui Chen, Yuan Li, Ruiqin Xiong, Lei Ma, Junwei Zhao, Siwei Dong, Lin Zhu, Jianing Li, Shanshan Jia, Yihua Fu, Boxin Shi, Si Wu, Yonghong Tian

Engineering 2023, Volume 25, Issue 6,   Pages 110-119 doi: 10.1016/j.eng.2022.01.012

Abstract: (SNN)-based machine vision system that combines the speed of the machine and the mechanism of biologicalvision, achieving high-speed object detection and tracking 1000× faster than human vision.We demonstrate the utility of the vidar camera and the super vision system in an assistant referee andindustries, including photography, movies, and visual media, and to unseal a new SNN-enabled speed-free machinevision era.

Keywords： Vidar camera     Spiking neural networks     Super vision system     Full-time imaging    

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Automatic Visual Leakage Detection and Localization from Pipelines in Chemical Process Plants Using MachineVision Techniques Reiew

Mina Fahimipirehgalin, Emanuel Trunzer, Matthias Odenweller, Birgit Vogel-Heuser

Engineering 2021, Volume 7, Issue 6,   Pages 758-776 doi: 10.1016/j.eng.2020.08.026

Abstract: In this paper, a method based on IR video data and machine vision techniques is proposed to detect andSince the proposed method is a vision-based method and does not consider the physical properties of the

Keywords： Leakage detection and localization     Image analysis     Image pre-processing     Principle component analysis     k-nearest neighbor classification    

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Information fusion in aquaculture: a state-of the art review

Shahbaz Gul HASSAN,Murtaza HASAN,Daoliang LI

Frontiers of Agricultural Science and Engineering 2016, Volume 3, Issue 3,   Pages 206-221 doi: 10.15302/J-FASE-2016111

Abstract: In this review, an information fusion approach was used to integrate multi-sensor and computer visionhas been used in different fields of artificial intelligence, robotics, image processing, computer visionThis review study surveys different fish feeding systems using multi-sensor data fusion, computer vision

Keywords： aquaculture     computer vision     information fusion     modeling     sensor    

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Challenges of human–machine collaboration in risky decision-making

Frontiers of Engineering Management 2022, Volume 9, Issue 1,   Pages 89-103 doi: 10.1007/s42524-021-0182-0

Abstract: The purpose of this paper is to delineate the research challenges of human–machine collaboration in riskyTechnological advances in machine intelligence have enabled a growing number of applications in human–machineTherefore, it is desirable to achieve superior performance by fully leveraging human and machine capabilitiesAfterward, we review the literature on human–machine collaboration in a general decision context, fromthe perspectives of human–machine organization, relationship, and collaboration.

Keywords： human–machine collaboration     risky decision-making     human–machine team and interaction     task allocation     human–machine relationship    

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Title Author Date Type Operation

Machine vision-based automatic fruit quality detection and grading

Journal Article

Research and application of visual location technology for solder paste printing based on machine vision

Luosi WEI, Zongxia JIAO

Journal Article

Advances in Computer Vision-Based Civil Infrastructure Inspection and Monitoring

Billie F. Spencer Jr.,Vedhus Hoskere,Yasutaka Narazaki

Journal Article

Visual interactive image clustering: a target-independent approach for configuration optimization in machinevision measurement

Lvhan PAN, Guodao SUN, Baofeng CHANG, Wang XIA, Qi JIANG, Jingwei TANG, Ronghua LIANG

Journal Article

Engineering in the Field of Vision of Philosophy

Yin Ruiyu

Journal Article

Current applications of artificial intelligence for intraoperative decision support in surgery

Allison J. Navarrete-Welton, Daniel A. Hashimoto

Journal Article

Real-time monitoring of brake shoe keys in freight cars

Rong ZOU,Zhen-ying XU,Jin-yang LI,Fu-qiang ZHOU

Journal Article

Chai Xiujuan: Machine Vision and Agricultural Robot Practice (2020-8-18)

17 Oct 2022

Conference Videos

Digital twin for healthy indoor environment: A vision for the post-pandemic era

Journal Article

Evaluation of computer vision techniques for automated hardhat detection in indoor construction safety

Bahaa Eddine MNEYMNEH, Mohamad ABBAS, Hiam KHOURY

Journal Article

Laser vision sensing based on adaptive welding for aluminum alloy

CHEN Zhixiang, SONG Yonglun, ZHANG Jun, ZHANG Wanchun, JIANG Li, XIA Xuxin

Journal Article

1000× Faster Camera and Machine Vision with Ordinary Devices

Tiejun Huang, Yajing Zheng, Zhaofei Yu, Rui Chen, Yuan Li, Ruiqin Xiong, Lei Ma, Junwei Zhao, Siwei Dong, Lin Zhu, Jianing Li, Shanshan Jia, Yihua Fu, Boxin Shi, Si Wu, Yonghong Tian

Journal Article

Automatic Visual Leakage Detection and Localization from Pipelines in Chemical Process Plants Using MachineVision Techniques

Mina Fahimipirehgalin, Emanuel Trunzer, Matthias Odenweller, Birgit Vogel-Heuser

Journal Article

Information fusion in aquaculture: a state-of the art review

Shahbaz Gul HASSAN,Murtaza HASAN,Daoliang LI

Journal Article

Challenges of human–machine collaboration in risky decision-making

Journal Article