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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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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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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 visiontechnology that has been used in different fields of artificial intelligence, robotics, image processing, computervision, sensors and wireless sensor networks.This 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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Light field imaging for computer vision: a survey Review Article

Chen JIA, Fan SHI, Meng ZHAO, Shengyong CHEN

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 7,   Pages 1077-1097 doi: 10.1631/FITEE.2100180

Abstract: Light field (LF) imaging has attracted attention because of its ability to solve problems. In this paper we briefly review the research progress in in recent years. For most factors that affect development, the richness and accuracy of visual information acquisition are decisive. LF imaging technology has made great contributions to because it uses cameras or s to record the position and direction information of light rays, acquiring complete three-dimensional (3D) scene information. LF imaging technology improves the accuracy of depth estimation, image segmentation, blending, fusion, and 3D reconstruction. LF has also been innovatively applied to iris and face recognition, identification of materials and fake pedestrians, acquisition of s, shape recovery, and LF microscopy. Here, we further summarize the existing problems and the development trends of LF imaging in , including the establishment and evaluation of the LF dataset, applications under high dynamic range (HDR) conditions, LF image enhancement, virtual reality, 3D display, and 3D movies, military optical camouflage technology, image recognition at micro-scale, image processing method based on HDR, and the optimal relationship between spatial resolution and four-dimensional (4D) LF information acquisition. LF imaging has achieved great success in various studies. Over the past 25 years, more than 180 publications have reported the capability of LF imaging in solving problems. We summarize these reports to make it easier for researchers to search the detailed methods for specific solutions.

Keywords： Light field imaging     Camera array     Microlens array     Epipolar plane image     Computer vision    

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Bridging the gap: Neuro-Symbolic Computing for advanced AI applications in construction

Frontiers of Engineering Management   Pages 727-735 doi: 10.1007/s42524-023-0266-0

Abstract: Learning (DL) has revolutionized the field of Artificial Intelligence (AI) in various domains such as computervision (CV) and natural language processing.

Keywords： advanced AI in construction     safety and quality inspection     Neuro-Symbolic Computing     Deep Learning     computervision    

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Benefits Realization Management of Computer Vision in Construction: A Missed, Yet Not Lost, Opportunity Views & Comments

Peter E.D. Love,Jane Matthews,Weili Fang,Hanbin Luo

Engineering 2023, Volume 27, Issue 8,   Pages 11-13 doi: 10.1016/j.eng.2022.09.009

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Efficient Identification of water conveyance tunnels siltation based on ensemble deep learning

Xinbin WU; Junjie LI; Linlin WANG

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 5,   Pages 564-575 doi: 10.1007/s11709-022-0829-x

Abstract: The inspection of water conveyance tunnels plays an important role in water diversion projects. Siltation is an essential factor threatening the safety of water conveyance tunnels. Accurate and efficient identification of such siltation can reduce risks and enhance safety and reliability of these projects. The remotely operated vehicle (ROV) can detect such siltation. However, it needs to improve its intelligent recognition of image data it obtains. This paper introduces the idea of ensemble deep learning. Based on the VGG16 network, a compact convolutional neural network (CNN) is designed as a primary learner, called Silt-net, which is used to identify the siltation images. At the same time, the fully-connected network is applied as the meta-learner, and stacking ensemble learning is combined with the outputs of the primary classifiers to obtain satisfactory classification results. Finally, several evaluation metrics are used to measure the performance of the proposed method. The experimental results on the siltation dataset show that the classification accuracy of the proposed method reaches 97.2%, which is far better than the accuracy of other classifiers. Furthermore, the proposed method can weigh the accuracy and model complexity on a platform with limited computing resources.

Keywords： conveyance tunnels     siltation images     remotely operated vehicles     deep learning     ensemble learning     computervision    

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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： artificial intelligence     decision support     clinical decision support systems     intraoperative     deep learning     computervision     machine learning     surgery    

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A zone-layered trimming method for ceramic core of aero-engine blade based on an advanced reconfigurable laser processing system

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 2, doi: 10.1007/s11465-022-0675-5

Abstract: is introduced based on the iterative closest point algorithm to register the path extracted from the computer-aidedcomplex surfaces is proposed to generate the working data of high-speed scanning galvanometer and the computer

Keywords： ceramic parts trimming     computer-aided laser manufacturing     3D vision     reconfigurable laser processing    

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第二届中国模式识别与计算机视觉学术会议（Chinese Conference on Pattern Recognition and Computer Vision）

Conference Date: 8 Nov 2019

Conference Place: 中国/陕西/西安

Administered by: 中国图象图形学学会、中国计算机学会、中国自动化学会、中国人工智能学会

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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Performance analysis of visualmarkers for indoor navigation systems Article

Gaetano C. LA DELFA,Salvatore MONTELEONE,Vincenzo CATANIA,Juan F. DE PAZ,Javier BAJO

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 8,   Pages 730-740 doi: 10.1631/FITEE.1500324

Abstract: Recently, thanks to the high performance of smartphones’ cameras, marker-less and marker-based computervision approaches have been investigated.

Keywords： Indoor localization     Visual markers     Computer vision    

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A quantitative attribute-based benchmark methodology for single-target visual tracking Article

Wen-jing KANG, Chang LIU, Gong-liang LIU

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 3,   Pages 405-421 doi: 10.1631/FITEE.1900245

Abstract: In the past several years, various visual object tracking benchmarks have been proposed, and some of them have been used widely in numerous recently proposed trackers. However, most of the discussions focus on the overall performance, and cannot describe the strengths and weaknesses of the trackers in detail. Meanwhile, several benchmark measures that are often used in tests lack convincing interpretation. In this paper, 12 frame-wise visual attributes that reflect different aspects of the characteristics of image sequences are collated, and a normalized quantitative formulaic definition has been given to each of them for the first time. Based on these definitions, we propose two novel test methodologies, a correlation-based test and a weight-based test, which can provide a more intuitive and easier demonstration of the trackers’ performance for each aspect. Then these methods have been applied to the raw results from one of the most famous tracking challenges, the Video Object Tracking (VOT) Challenge 2017. From the tests, most trackers did not perform well when the size of the target changed rapidly or intensely, and even the advanced deep learning based trackers did not perfectly solve the problem. The scale of the targets was not considered in the calculation of the center location error; however, in a practical test, the center location error is still sensitive to the targets’ changes in size.

Keywords： Visual tracking     Performance evaluation     Visual attributes     Computer vision    

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Edge Detection Based on a Uniform B-Spline With Shape Parameter by Modifying Profit and Loss Data

Zhao Yanli ,Wang Zhan ,Guo Chenghao ,Liu Fengyu

Strategic Study of CAE 2007, Volume 9, Issue 7,   Pages 65-70

Abstract:

This paper puts forward a novel image edge detection method based on uniform B-spline with shape parameter by modifying profit and loss data. The original image intensity is modified for decreasing the residual error between smooth image and original image. A smooth surface of the digital image is presented by the new modified data. The edge point is detected by either computing the local extreme of the directional derivative or computing zero crossing of the second order directional derivative of the smooth surface. Experiments demonstrate that this algorithm is simple, accurate and reliable. It can wipe off the bogus edge commendably and process the digital image in real time.

Keywords： uniform B-spline with shape parameter     edge detection     computer vision     profit and loss modifying    

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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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Title Author Date Type Operation

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

Bahaa Eddine MNEYMNEH, Mohamad ABBAS, Hiam KHOURY

Journal Article

Advances in Computer Vision-Based Civil Infrastructure Inspection and Monitoring

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

Journal Article

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

Shahbaz Gul HASSAN,Murtaza HASAN,Daoliang LI

Journal Article

Light field imaging for computer vision: a survey

Chen JIA, Fan SHI, Meng ZHAO, Shengyong CHEN

Journal Article

Bridging the gap: Neuro-Symbolic Computing for advanced AI applications in construction

Journal Article

Benefits Realization Management of Computer Vision in Construction: A Missed, Yet Not Lost, Opportunity

Peter E.D. Love,Jane Matthews,Weili Fang,Hanbin Luo

Journal Article

Efficient Identification of water conveyance tunnels siltation based on ensemble deep learning

Xinbin WU; Junjie LI; Linlin WANG

Journal Article

Current applications of artificial intelligence for intraoperative decision support in surgery

Allison J. Navarrete-Welton, Daniel A. Hashimoto

Journal Article

A zone-layered trimming method for ceramic core of aero-engine blade based on an advanced reconfigurable laser processing system

Journal Article

第二届中国模式识别与计算机视觉学术会议（Chinese Conference on Pattern Recognition and Computer Vision）

8 Nov 2019

Conference Information

Engineering in the Field of Vision of Philosophy

Yin Ruiyu

Journal Article

Performance analysis of visualmarkers for indoor navigation systems

Gaetano C. LA DELFA,Salvatore MONTELEONE,Vincenzo CATANIA,Juan F. DE PAZ,Javier BAJO

Journal Article

A quantitative attribute-based benchmark methodology for single-target visual tracking

Wen-jing KANG, Chang LIU, Gong-liang LIU

Journal Article

Edge Detection Based on a Uniform B-Spline With Shape Parameter by Modifying Profit and Loss Data

Zhao Yanli ,Wang Zhan ,Guo Chenghao ,Liu Fengyu

Journal Article

Machine vision-based automatic fruit quality detection and grading

Journal Article