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5th International conference on Recent Trends in machine Learning, IoT, Smart Cities, and applications, ICMISC 2024

作者： Jeslin Shanthamalar, J. Yuthika, P. Kannan, R. Albert Mayan, J. Velvizhi, R. Department of Computer Science and Engineering Sathyabama Institute of Science and Technology Tamil Nadu Chennai 600119 India

ISBN: (纸本)9789819788644

It is essential to find creative solutions to the growing urban problems of traffic congestion and parking issues. By using real-time traffic camera photos with image processing and deep learning algorithms to compute traffic density in real-time, the suggested approach gets around these problems. The system speeds up transit and lowers pollution in megacities by reducing traffic dramatically and dynamically modifying traffic lights based on vehicle density. The study also presents a novel solution to the issue of people circling open lots in search of parking spots. The system achieves a remarkable positive detection rate by using thermal cameras and cutting-edge deep learning architectures using Yolov4. The overall accuracy of the YOLO v4 model in this hypothetical scenario is approximately 0.90. Parking lot cruising patterns are illuminated by the precise tracking of several moving automobiles made possible by Kalman filters. In addition to improving traffic control, this combination of state-of-the-art technologies provides insightful information about parking behavior, opening the door to more effective urban mobility solutions. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Deep learning Kalman filters R-FCN (Region-based Fully Convolutional Networks) YOLOv4

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25th International conference on Internet Computing and IoT, ICOMP 2024, and 22nd International conference on Embedded Systems, Cyber-physical Systems, and applications, ESCS 2024, held as part of the World Congress in Computer Science, Computer Engineering and Applied Computing, CSCE 2024

25th International Conference on Internet Computing and IoT,...

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25th International conference on Internet Computing and IoT, ICOMP 2024, and 22nd International conference on Embedded Systems, Cyber-physical Systems, and applications, ESCS 2024, held as part of the World Congress in Computer Science, Computer Engineering and Applied Computing, CSCE 2024

ISBN: (纸本)9783031859229

The proceedings contain 33 papers. The special focus in this conference is on Internet Computing and IoT. The topics include: Malware Detection in the IoT Home Network;IoT-Based Analysis of Environmental and Motion Data for Comfort and Energy Conservation in Optimizing HVAC Systems;improving Critical Controls Using IoT and Computer vision;A Data-Driven Driving Under the Influence (DUI) Detection, Notification and Prevention System Using Artificial Intelligence and Internet-Of-Things (IoT);understanding User Interactions with IoT Process Models: A Demographic Perspective;Advancing IoT Process Modeling: A Comparative Evaluation of BPMNE4IoT and Traditional BPMN on User-Friendliness, Effectiveness, and Workload;Threat Detection Using MLP for IoT Network;harnessing Social Robotics and the Internet of Things to Reduce the Risk of Older Adults Developing Hypothermia and Dehydration;re/Imagining Smart Home Automation Framework in the Era of 6G-Enabled Smart Cities;smart Roadway Monitoring: Pothole Detection and Mapping via Google Street view;Energy-Efficiency Modeling for AI applications on Edge Computing;optimizing Wireless Sensor Network Node Placement Using Bacterial Foraging Optimization;The vital Role of Small and Marginal Farmer in Future of Our Climate: Democratization of machine Learning, Artificial Intelligence, and Dairy Cow Necklace Sensors in Achieving the UN Climate Change Goals (COP21) and the Paris Agreement;autonomous Driving Prototype with Raspberry Pi by Using image processing Technology;towards Implementation of Privacy-Preserving Federated Learning Aggregation Using Multi-key Homomorphic Encryption;advancing Nursing Education Through virtual Reality Training: A Revolutionary Approach to Ensuring Patient Safety;multiDrone Simulator An Open Source Multi-plataform Tool to Use in Tests of Optimized Flight of Group of Drones;Revolutionizing Multiplayer Gaming: A Deep Dive into visionXO, a 3D Multiplayer Tic-Tac-Toe Game.

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A SCALABLE, REAL-TIME, image-processing PIPELINE

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machine vision AND applications 1995年第2期8卷 110-121页

作者： JONKER, PP KOMEN, ER KRAAIJVELD, MA DELFT UNIV TECHNOL FAC APPL PHYS PATTERN RECOGNIT SECT POB 5046 2600 GA DELFT NETHERLANDS

To speed up image processing in the field of robot vision and industrial inspection, a pipeline element that can perform fast cellular logic operations was made. This cellular logic processing element (CLPE) can process binary images with a speed of 100 ns per pixel. The processing element is a CMOS VLSI device. It includes a writable logic array for storing sets of 3 x 3 structuring elements that define the cellular logic operations. This paper describes how such CLPEs can be used for building a pipeline for mixed gray-value processing and cellular logic processing.

关键词： REAL-TIME image processing LOW-LEVEL image processing CELLULAR LOGIC processing MATHEMATICAL MORPHOLOGY SYSTOLIC PIPELINE

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Design and application of industrial machine vision systems

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ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING 2007年第6期23卷 630-637页

作者： Golnabi, H. Asadpour, A. Sharif Univ Technol Inst Water & Energy Tehran Iran Islamic Azad Univ Plasma Phys Res Ctr Tehran Iran

In this paper, the role and importance of the machine vision systems in the industrial applications are described. First understanding of the vision in terms of a universal concept is explained. System design methodology is discussed and a generic machine vision model is reported. Such a machine includes systems and sub-systems, which of course depend on the type of applications and required tasks. In general, expected functions from a vision machine are the exploitation and imposition of the environmental constraint of a scene, the capturing of the images, analysis of those captured images, recognition of certain objects and features within each image, and the initiation of subsequent actions in order to accept or reject the corresponding objects. After a vision system performs all these stages, the task in hand is almost completed. Here, the sequence and proper functioning of each system and sub-systems in terms of high-quality images is explained. In operation, there is a scene with some constraint, first step for the machine is the image acquisition, pre-processing of image, segmentation, feature extraction, classification, inspection, and finally actuation, which is an interaction with the scene under study. At the end of this report, industrial image vision applications are explained in detail. Such applications include the area of automated visual inspection (Avi), process control, parts identification, and important role in the robotic guidance and control. vision developments in manufacturing that can result in improvements in the reliability, in the product quality, and enabling technology for a new production process are presented. The key points in design and applications of a machine vision system are also presented. Such considerations can be generally classified into the six different categories such as the scene constraints, image acquisition, image preprocessing, image processing, machine vision justification, and finally the systematic consideratio

关键词： design application industrial vision system image

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A state observer for using a slow camera as a sensor for fast control applications

A state observer for using a slow camera as a sensor for fas...

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conference on image processing - machine vision applications vi

作者： Gahleitner, Reinhard Schagerl, Martin Univ Appl Sci Upper Austria A-4600 Wels Austria

ISBN: (纸本)9780819494344

This contribution concerns about a problem that often arises in vision based control, when a camera is used as a sensor for fast control applications, or more precisely, when the sample rate of the control loop is higher than the frame rate of the camera. In control applications for mechanical axes, e. g. in robotics or automated production, a camera and some image processing can be used as a sensor to detect positions or angles. The sample time in these applications is typically in the range of a few milliseconds or less and this demands the use of a camera with a high frame rate up to 1000 fps. The presented solution is a special state observer that can work with a slower and therefore cheaper camera to estimate the state variables at the higher sample rate of the control loop. To simplify the image processing for the determination of positions or angles and make it more robust, some LED markers are applied to the plant. Simulation and experimental results show that the concept can be used even if the plant is unstable like the inverted pendulum.

关键词： vision based control real-time image processing multirate state observer inverted pendulum

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Bottle inspector based on machine vision

Bottle inspector based on machine vision

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conference on image processing - machine vision applications vi

作者： Toxqui-Quitl, C. Cardenas-Franco, J. Padilla-vivanco, A. Valdiviezo-Navarro, J. Univ Politecn Tulancingo Tulancingo 43629 Hidalgo Mexico

ISBN: (纸本)9780819494344

A machine vision system for fault detection in PET bottles is presented. The bottle inspector is divided in three modules for image acquisition of bottle finish, bottle wall and bottle bottom. The captured images are corrected by adaptive gamma correction. An algorithm based in the frequency filtering of n images for defect detection of bottle wall and bottle finish is proposed. We obtain a correct rate classification of 85.5 % in bottle finish, 80.64 % in bottle wall and 95.0 % in bottle bottom. (c) (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.

关键词： bottle inspection machine vision quality control

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One-Phase Algorithm for Continuous Wave TOF machine vision applications

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IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT 2013年第5期62卷 991-998页

作者： Hussmann, Stephan Hermanski, Alexander West Coast Univ Appl Sci Fac Engn D-25746 Heide Germany West Coast Univ Appl Sci Inst Machine Vis Technol Ma Vi Tec D-25746 Heide Germany

During the last years, time-of-flight (TOF) sensors achieved a significant impact onto research fields in machine vision. In comparison to other common 3-D sensing devices, they combine the advantages of active sensors providing accurate distance measurements and camera-based systems recording a 2-D matrix at a high frame rate. In this paper, a new approach is presented which increases the range calculation time by a factor of four. Experimental results show that the proposed algorithm is well suited for real-time processing of the range images of continuous wave TOF cameras.

关键词： Optical distance measurement component phase measurement phase shift algorithm photonic mixer devices (PMD) real-time image processing time-of-flight (TOF)

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machine vision System for the Control of Tunnel Boring machines

Machine Vision System for the Control of Tunnel Boring Machi...

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conference on image processing - machine vision applications vi

作者： Habacher, Michael O'Leary, Paul Harker, Matthew Golser, Johannes Univ Leoben Inst Automat A-8700 Leoben Austria

ISBN: (纸本)9780819494344

This paper presents a machine vision system for the control of dual-shield Tunnel Boring machines. The system consists of a camera with ultra bright LED illumination and a target system consisting of multiple retro-reectors. The camera mounted on the gripper shield measures the relative position and orientation of the target which is mounted on the cutting shield. In this manner the position of the cutting shield relative to the gripper shield is determined. Morphological operators are used to detect the retro-reectors in the image and a covariance optimized circle fit is used to determine the center point of each reflector. A graph matching algorithm is used to ensure a robust matching of the constellation of the observed target with the ideal target geometry.

关键词： TBM morphological operators covariance optimized fitting graph matching

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High-speed image processing algorithms using MMX hardware

High-speed image processing algorithms using MMX hardware

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conference on machine vision applications, Architectures, and Systems Integration vi

作者： Miller, JWV Wood, J Univ. of Michigan/Dearborn (United States)

ISBN: (纸本)0819426377

Low-cost PC-based machine vision systems have become more common due to faster processing capabilities and the availability of compatible high-speed image acquisition and processing hardware. One development, which is likely to have a very favorable impact on this trend, is enhanced multimedia capabilities present in new processor chips such as Intel MMX and Cyrix M2 processors. Special instructions are provided with this type of hardware which, combined with a SIMD parallel processing architecture, provides a substantial speed improvement over more traditional processors. Eight simultaneous byte or four double-byte operations are possible. The new instructions are similar to those provided by DSP chips such as multiply and accumulate and are quite useful for linear processing operations like convolution. However, only four pixels may be processed simultaneously because of the limited dynamic range of byte data. Given the inherent limitations with respect to looping in SIMD hardware, nonlinear operations such as erosion and dilation would seem to be difficult to implement. However, special instructions are available for required operations. Benchmarks for a number of image-processing operations are provided in the paper to illustrate the advantages of the new multimedia extensions for vision applications.

关键词： machine vision image processing algorithms multimedia extensions single instruction multiple data performance gains

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machine vision;Recent advances in CCD video camera technology

Machine vision;Recent advances in CCD video camera technolog...

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conference on machine vision applications, Architectures, and Systems Integration vi

作者： Easton, RA Hamilton, RJ Cohu Inc. (United States)

ISBN: (纸本)0819426377

This paper will describe four state-of-the-art digital video cameras, which provide advanced features that benefit computer image enhancement, manipulation, and analysis. These cameras were designed to reduce the complexity of imaging systems while increasing the accuracy, dynamic range, and detail enhancement of product inspections. Two cameras utilize progressive scan CCD sensors enabling the capture of high-resolution images of moving objects without the need for strobe lights or mechanical shutters. The second progressive scan camera has an unusually high resolution of 1280x1024 and a choice of serial or parallel digital interface for data and control. The other two cameras incorporate Digital Signal processing (DSP) technology for improved dynamic range, more accurate determination of color, white balance stability, and enhanced contrast of part: features against the background. Successful applications and future product development trends will be discussed. A brief description of analog and digital image capture devices will address the most common questions regarding interface requirements within a typical machine vision system overview.

关键词： video camera digital signal processing progressive scan machine vision television

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