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基于计算机视觉的民用基础设施的检查与监测研究进展 Review

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

《工程（英文）》 2019年第5卷第2期页码 199-222 doi: 10.1016/j.eng.2018.11.030

摘要：

计算机视觉技术与远程摄像机和无人机（UAVs）的采集相结合，为民用基础设施状况评估提供了前景良好的非接触式解决方案。这种系统的最终目标是自动且稳健地将图像或视频数据转换为可操作的信息。本文概述了将计算机视觉技术应用于民用基础设施状态评估的最新进展。特别介绍了计算机视觉、机器学习和结构工程领域的相关研究。评估工作分为两类：检查应用和监测应用。检查应用包括识别环境，如结构构件，表征局部和全部的可见损坏，以及检测参考图像的变化。监测应用包括应变和位移的静态测量，以及模态分析的位移动态测量。最后，文章指出了为实现基于自动化视觉的民用基础设施和监测目标而持续存在的一些关键挑战，以及为解决这些挑战而正在进行的工作。

关键词：结构检查和监测人工智能计算机视觉机器学习光流

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

Bahaa Eddine MNEYMNEH, Mohamad ABBAS, Hiam KHOURY

《工程管理前沿（英文）》 2018年第5卷第2期页码 227-239 doi: 10.15302/J-FEM-2018071

摘要： Construction is considered among the most dangerous industries and is responsible for a large portion of total worker fatalities. A construction worker has a probability of 1-in-200 of dying on the job during a 45-year career, mainly due to fires, falls, and being struck by or caught between objects. Hence, employers must ensure their workers wear personal protective equipment (PPE), in particular hardhats, if they are at risk of falling, being struck by falling objects, hitting their heads on static objects, or coming in proximity to electrical hazards. However, monitoring the presence and proper use of hardhats becomes inefficient when safety officers must survey large areas and a considerable number of workers. Using images captured from indoor jobsites, this paper evaluates existing computer vision techniques, namely object detection and color-based segmentation tools, used to rapidly detect if workers are wearing hardhats. Experiments are conducted and the results highlight the potential of cascade classifiers, in particular, to accurately, precisely, and rapidly detect hardhats under different scenarios and for repetitive runs, and the potential of color-based segmentation to eliminate false detections.

关键词： construction safety personal protective equipment hardhat computer vision

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Machine vision-based automatic fruit quality detection and grading

《农业科学与工程前沿（英文）》 doi: 10.15302/J-FASE-2023532

摘要：

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

关键词： Computer and machine vision convolution neural network deep learning defective fruit detection fruit grading microcontroller

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Current applications of artificial intelligence for intraoperative decision support in surgery

Allison J. Navarrete-Welton, Daniel A. Hashimoto

《医学前沿（英文）》 2020年第14卷第4期页码 369-381 doi: 10.1007/s11684-020-0784-7

摘要： 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.

关键词： artificial intelligence decision support clinical decision support systems intraoperative deep learning computer vision machine learning surgery

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

Luosi WEI, Zongxia JIAO

《机械工程前沿（英文）》 2009年第4卷第2期页码 184-191 doi: 10.1007/s11465-009-0034-9

摘要： A location system is very important for solder paste printing in the process of surface mount technology (SMT). 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. The working principle of solder paste printing is introduced and then the design and implementation of the visual location system are described. In the system, two key techniques are completed by secondary development based on VisionPro. One is accurate image location solved by the pattern-based location algorithms of PatMax. The other one is camera calibration that is achieved by image warping technology through the checkerboard plate. Moreover, the system can provide good performances such as high image locating accuracy with 1/40 sub-pixels, high anti-jamming, and high-speed location of objects whose appearance is rotated, scaled, and/or stretched.

关键词： machine vision visual location solder paste printing VisionPro

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

Shahbaz Gul HASSAN,Murtaza HASAN,Daoliang LI

《农业科学与工程前沿（英文）》 2016年第3卷第3期页码 206-221 doi: 10.15302/J-FASE-2016111

摘要： Efficient fish feeding is currently one of biggest challenges in aquaculture to enhance the production of fish quality and quantity. In this review, an information fusion approach was used to integrate multi-sensor and computer vision techniques to make fish feeding more efficient and accurate. Information fusion is a well-known technology that has been used in different fields of artificial intelligence, robotics, image processing, computer vision, sensors and wireless sensor networks. Information fusion in aquaculture is a growing field of research that is used to enhance the performance of an “industrialized” ecosystem. This review study surveys different fish feeding systems using multi-sensor data fusion, computer vision technology, and different food intake models. In addition, different fish behavior monitoring techniques are discussed, and the parameters of water, pH, dissolved oxygen, turbidity, temperature etc., necessary for the fish feeding process, are examined. Moreover, the different waste management and fish disease diagnosis techniques using different technologies, expert systems and modeling are also reviewed.

关键词： aquaculture computer vision information fusion modeling sensor

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用于计算机视觉任务的光场成像技术综述 Review Article

贾晨1,2,石凡1,2,赵萌1,2,陈胜勇1,2

《信息与电子工程前沿（英文）》 2022年第23卷第7期页码 1077-1097 doi: 10.1631/FITEE.2100180

摘要：光场成像因其解决计算机视觉问题的能力而备受关注。本文首先简要回顾了近年来计算机视觉的研究进展。对于影响计算机视觉发展的大多数因素来说，视觉信息获取的丰富性和准确性起着决定性作用。光场成像技术利用照相机或微透镜阵列记录光线位置和方向信息，获取完整三维场景信息，为计算机视觉研究做出巨大贡献。光场成像提高了深度估计以及图像分割、融合和三维重建的精度。光场成像还被创新地应用于虹膜和人脸识别、材料和虚假行人识别、极平面图像采集和形状恢复以及光场显微镜。我们进一步总结了光场成像技术在计算机视觉研究中存在的问题和发展趋势，如光场数据集的建立和评估、在高动态范围条件下的应用、光场增强和虚拟现实。光场成像在各种研究中取得巨大成功。在过去25年，超过180篇文献报道了光场成像在解决计算机视觉问题上的能力。我们梳理了这些文献，使研究人员更容易搜索有关解决方案的详细方法。

关键词：光场成像；相机阵列；微透镜阵列；极平面图像；计算机视觉

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New method for computer numerical control machine tool calibration: Relay method

LIU Huanlao, SHI Hanming, LI Bin, ZHOU Huichen

《机械工程前沿（英文）》 2007年第2卷第3期页码 301-304 doi: 10.1007/s11465-007-0053-3

摘要： Relay measurement method, which uses the kilogram-meter (KGM) measurement system to identify volumetric errors on the planes of computer numerical control (CNC) machine tools, is verified through experimental tests. During the process, all position errors on the entire plane table are measured by the equipment, which is limited to a small field. All errors are obtained first by measuring the error of the basic position near the original point. On the basis of that positional error, the positional errors far away from the original point are measured. Using this analogy, the error information on the positional points on the entire plane can be obtained. The process outlined above is called the relay method. Test results indicate that the accuracy and repeatability are high, and the method can be used to calibrate geometric errors on the plane of CNC machine tools after backlash errors have been well compensated.

关键词： positional volumetric information process repeatability

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

《工程管理前沿（英文）》页码 727-735 doi: 10.1007/s42524-023-0266-0

摘要： Deep Learning (DL) has revolutionized the field of Artificial Intelligence (AI) in various domains such as computer vision (CV) and natural language processing. However, DL models have limitations including the need for large labeled datasets, lack of interpretability and explainability, potential bias and fairness issues, and limitations in common sense reasoning and contextual understanding. On the other side, DL has shown significant potential in construction for safety and quality inspection tasks using CV models. However, current CV approaches may lack spatial context and measurement capabilities, and struggle with complex safety and quality requirements. The integration of Neuro-Symbolic Computing (NSC), an emerging field that combines DL and symbolic reasoning, has been proposed as a potential solution to address these limitations. NSC has the potential to enable more robust, interpretable, and accurate AI systems in construction by harnessing the strengths of DL and symbolic reasoning. The combination of symbolism and connectionism in NSC can lead to more efficient data usage, improved generalization ability, and enhanced interpretability. Further research and experimentation are needed to effectively integrate NSC with large models and advance CV technologies for precise reporting of safety and quality inspection results in construction.

关键词： advanced AI in construction safety and quality inspection Neuro-Symbolic Computing Deep Learning computer vision

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建筑领域计算机视觉的效益实现管理 Views & Comments

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

《工程（英文）》 2023年第27卷第8期页码 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

《结构与土木工程前沿（英文）》 2022年第16卷第5期页码 564-575 doi: 10.1007/s11709-022-0829-x

摘要： 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.

关键词： water conveyance tunnels siltation images remotely operated vehicles deep learning ensemble learning computer vision

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可视交互式图像聚类：一种机器视觉测量中目标无关的配置优化方法 Research Article

潘律翰,孙国道,常宝峰,夏旺,江棨,汤井威,梁荣华

《信息与电子工程前沿（英文）》 2023年第24卷第3期页码 355-372 doi: 10.1631/FITEE.2200547

摘要：机器视觉测量（machine vision measurement, MVM）是一种用于产品质量控制的重要方法，可有效、无损地测量目标面积或长度。

关键词：机器视觉测量；打光方案设计；参数优化；可视交互式图像聚类

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

《机械工程前沿（英文）》 2022年第17卷第2期 doi: 10.1007/s11465-022-0675-5

摘要： Ceramic structural parts are one of the most widely utilized structural parts in the industry. However, they usually contain defects following the pressing process, such as burrs. Therefore, additional trimming is usually required, despite the deformation challenges and difficulty in positioning. This paper proposes an ultrafast laser processing system for trimming complex ceramic structural parts. Opto-electromechanical cooperative control software is developed to control the laser processing system. The trimming problem of the ceramic cores used in aero engines is studied. The regional registration method is introduced based on the iterative closest point algorithm to register the path extracted from the computer-aided design model with the deformed ceramic core. A zonal and layering processing method for three-dimensional contours on complex surfaces is proposed to generate the working data of high-speed scanning galvanometer and the computer numerical control machine tool, respectively. The results show that the laser system and the method proposed in this paper are suitable for trimming complex non-datum parts such as ceramic cores. Compared with the results of manual trimming, the method proposed in this paper has higher accuracy, efficiency, and yield. The method mentioned above has been used in practical application with satisfactory results.

关键词： ceramic parts trimming computer-aided laser manufacturing 3D vision reconfigurable laser processing system

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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）

会议日期： 2019年11月08日

会议地点：中国/陕西/西安

主办单位：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

哲学视野中的工程

殷瑞钰

《中国工程科学》 2008年第10卷第3期页码 4-8

摘要：

通过历史唯物史观的考察，指出工程是在人类生存、发展过程中的一项基本实践活动，工程在不同历史时期一直是直接生产力。工程活动是先于科学活动出现的。研究认为，有关自然的知识和活动应分为科学、技术、工程三元，科学活动的主要特征是“探索”、“发现”，技术活动的主要特征是“发明”、“创新”，工程活动的主要特征是“集成”、“构建”。从现代知识意义上看，“科学—技术—工程—产业”之间存在相关的知识链（知识网络），工程与产业的关系更直接、更紧密。工程是人类为了维持生存、繁衍和发展，为了建设家园及美好地生活而进行的实践活动，是人类智慧的凝聚和所追求理想的一种体现。从哲学视野看，工程活动的成果往往体现为构筑一个新的存在物，即在一定边界条件下优化构建起来的集成体。工程集成包涵了诸多技术要素的集成，也包括了技术要素与经济、社会、管理等方面的基本要素在一定条件下的优化—集成。在新世纪的背景条件下工程是创新活动的重要领域，也应是哲学思考的新领域，哲学的超越和工程的超越存在着诸多“交集”和“并集”，因而，工程需要哲学，哲学要面向工程，工程界与哲学界互动，是中国工程哲学兴起的特点。

关键词：工程哲学思考

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标题作者时间类型操作

基于计算机视觉的民用基础设施的检查与监测研究进展

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

期刊论文

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

Bahaa Eddine MNEYMNEH, Mohamad ABBAS, Hiam KHOURY

期刊论文

Machine vision-based automatic fruit quality detection and grading

期刊论文

Current applications of artificial intelligence for intraoperative decision support in surgery