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Journal articles on the topic 'Computer controlled vision system'

Author: Grafiati

Published: 4 June 2021

Last updated: 7 February 2022

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1

Wang, Wei, Wenhui Li, Yongkui Liu, and Yanmei Xu. "Research on the Tongue Controlled Mouse System Based on Computer Vision." Journal of Software Engineering 9, no. 3 (2015): 621–30. http://dx.doi.org/10.3923/jse.2015.621.630.

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O'Brien, Matthew, Dennis A. Cooper, and Jonathan Dolan. "Continuous flow iodination using an automated computer-vision controlled liquid-liquid extraction system." Tetrahedron Letters 58, no. 9 (2017): 829–34. http://dx.doi.org/10.1016/j.tetlet.2017.01.029.

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Kaczmarek, Kurt, Paul Bach-Y-Rita, Willis J. Tompkins, and John G. Webster. "A Tactile Vision-Substitution System for the Blind: Computer-Controlled Partial Image Sequencing." IEEE Transactions on Biomedical Engineering BME-32, no. 8 (1985): 602–8. http://dx.doi.org/10.1109/tbme.1985.325599.

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Zhou, Libo, Zhongjun Qiu, Tomohiko Ishikawa, Tatsuo Kawakami, and Hiroshi Eda. "Development of vision controlled bio-cell manipulation system." International Journal of Manufacturing Technology and Management 9, no. 1/2 (2006): 130. http://dx.doi.org/10.1504/ijmtm.2006.009991.

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Anderson, J. R., and M. J. Skinner. "Blade Repair With Adaptive Vision Tracking." Journal of Engineering for Gas Turbines and Power 114, no. 2 (1992): 323–27. http://dx.doi.org/10.1115/1.2906591.

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The paper discusses the repair welding of compressor and other blades contained in gas turbine engines. The specific topics of discussion are the application requirements, the general metallurgical considerations, the synchronized pulsation arc welding process, the adaptive vision system employed and the computer-controlled welding system. Reference to an actual installation of this technology will be included.

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Al-Kindi, G. A. H., R. M. Baul, and K. F. Gill. "Vision-controlled CNC machines." Computing & Control Engineering Journal 4, no. 2 (1993): 92. http://dx.doi.org/10.1049/cce:19930019.

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Bistrović, Miroslav, Jasmin Čelić, and Domagoj Komorčec. "Computer Vision Application for Early Stage Smoke Detection on Ships." Journal of Maritime & Transportation Science 52, no. 1 (2016): 63–80. http://dx.doi.org/10.18048/2016.52.04.

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Nowadays, ship’s engine room is fire protected by automatic fire fighting systems, usually controlled from a place located outside the engine room. In order to activate the water mist extinguishing system automatically, at least two different fire detectors have to be activated. One of these detectors is a flame detector that is not hampered by various air flows caused by ventilation or draft and is rapidly activated and the other is smoke detector which is hampered by these flows causing its activation to be delayed. As a consequence, the automatic water mist extinguishing system is also dela

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Zakhama, Afef, Lotfi Charrabi, and Khaled Jelassi. "Intelligent Selective Compliance Articulated Robot Arm robot with object recognition in a multi-agent manufacturing system." International Journal of Advanced Robotic Systems 16, no. 2 (2019): 172988141984114. http://dx.doi.org/10.1177/1729881419841145.

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Nowadays, industry tends to adopt the smart factory concept in their production. Technology intelligence is applied to use all the resources efficiently. Robots and vision system are masters in this kind of industry. However, information transfer between the robot controller and the vision system poses a great challenge. Data exchange between these two systems shall be secure, and the transfer must be with a very high level of accuracy. In this article, a multi-platform software application using a vision system is performed to control a Selective Compliance Articulated Robot Arm robot. The so

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AILISTO, HEIKKI, RISTO MITIKKA, ILKKA MORING, HANNU JOKINEN, and ILKKA KAISTO. "3D MEASUREMENT CONTROLLED BY A CAD MODEL-BASED MEASUREMENT PLANNING AND VISION SYSTEM." International Journal of Pattern Recognition and Artificial Intelligence 10, no. 02 (1996): 151–64. http://dx.doi.org/10.1142/s021800149600013x.

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Optical coordinate measurement systems will benefit from developments similar to those taking place in robots, namely off-line programming capability and intelligent sensors. Research work towards these goals is reported here. An experimental system with CAD model-based measurement planning and vision control has been constructed and its feasibility demonstrated. The system comprises a measurement planning tool, a measurement robot with vision guidance and a means of visualizing and comparing the measured results with the design data. The measurement planning tool is based on a commercial CAD

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Wang, Xian Mei, Ti Deng, Ling Yan Liang, and Zhi Liang Wang. "A Novel Smart Household Control System by Computer Vision." Advanced Materials Research 179-180 (January 2011): 264–69. http://dx.doi.org/10.4028/www.scientific.net/amr.179-180.264.

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For the disable people or the aged people, they need extra help in their daily household life. Various modern devices have been developed to improve their living quality. These devices always have automatic functions which are considered crucial for their independent life. Different to the traditional automatic household appliance such as manually infrared remote-controller and automatic voice-operated switch, this paper presents a novel approach based on computer vision to realize intelligent household control. This proposed system uses Adaboost and ASM algorithm for face detection and featur

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Huang, Jie, Yong Jun Zheng, Wei Bai, and Jia Jun Ding. "Electronic Scale Automatic Calibration System with Image Identification." Advanced Materials Research 468-471 (February 2012): 1609–12. http://dx.doi.org/10.4028/www.scientific.net/amr.468-471.1609.

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A new automatic calibration system for electronic scale with image identification is developed. The system is composed with mechanical part, pneumatic components, PLC, USB camera and computer. Labview is the developing platform with user interface, PLC is controlled by Labview via OPC configuration to load or unload the standard weights, image machine vision technology is used to automatic recognize the LED char displayed on electronic scale.

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Emery, N. B., and D. R. Buchanan. "Yarn Package Inspection with Computer Vision and Robotics." Textile Research Journal 58, no. 10 (1988): 605–14. http://dx.doi.org/10.1177/004051758805801008.

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A system for the automatic inspection of open-end polyester/cotton blend yarn packages, including package transportation and inspection algorithms, has been developed and implemented. An American robot was used to move and position the yarn packages during the inspection procedure. The robot controller served as the host computer and directed the sequence of inspection routines. An IRI P256 computer vision system performed the inspection steps for eleven of the most common package flaws. Several hundred packages were inspected with this system and its accuracy was comparable to that of human i

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Sabzi, Sajad, Razieh Pourdarbani, and Juan Ignacio Arribas. "A Computer Vision System for the Automatic Classification of Five Varieties of Tree Leaf Images." Computers 9, no. 1 (2020): 6. http://dx.doi.org/10.3390/computers9010006.

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A computer vision system for automatic recognition and classification of five varieties of plant leaves under controlled laboratory imaging conditions, comprising: 1–Cydonia oblonga (quince), 2–Eucalyptus camaldulensis dehn (river red gum), 3–Malus pumila (apple), 4–Pistacia atlantica (mt. Atlas mastic tree) and 5–Prunus armeniaca (apricot), is proposed. 516 tree leaves images were taken and 285 features computed from each object including shape features, color features, texture features based on the gray level co-occurrence matrix, texture descriptors based on histogram and moment invariants.

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Hsieh, Sheng‐Jen. "Re‐configurable dual‐robot assembly system design, development and future directions." Industrial Robot: An International Journal 30, no. 3 (2003): 250–57. http://dx.doi.org/10.1108/01439910310473960.

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This paper describes the design and development of a re‐configurable dual‐robot assembly system using off‐the‐shelf re‐configurable pneumatic modules, Hall‐effect sensors, a vision system, and a programmable logic controller (PLC). Each robot arm consists of three sets of pneumatic modules and a pneumatic gripper. Each module consists of a pneumatic housing, an air cylinder, and a Hall‐effect sensor, and provides one degree of freedom. Solenoids are used to redirect airflow and thereby extend and/or retract the air cylinder. A vision system is used for fixture inspection. A conveyor and part s

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Domek, Stefan, Paweł Dworak, Marek Grudziński, and Krzysztof Okarma. "Calibration of Cameras and Fringe Pattern Projectors in the Vision System for Positioning of Workpieces on the CNC Machines." Solid State Phenomena 199 (March 2013): 229–34. http://dx.doi.org/10.4028/www.scientific.net/ssp.199.229.

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Application of machine vision in automation, robotics and mechatronic systems is one of the most rapidly developing areas of industrial and applied computer science. The vision system presented in the paper can be used for automatic positioning of the workpieces on the numerically controlled machines. The idea of the system is based on the 3D scanning using the fringe patterns approach [ but its accuracy strongly depends on the lighting conditions and the proper calibration of the whole vision system. The most crucial elements for the calibration are both cameras and structural light projector

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Chen, Jin Bo, Zheng Peng Yuan, and Zhen Bang Gong. "Development of Autonomous Bucket Wheel Reclaimer with Laser Vision." Applied Mechanics and Materials 44-47 (December 2010): 355–59. http://dx.doi.org/10.4028/www.scientific.net/amm.44-47.355.

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An autonomous system of the bucket wheel reclaimer is developed to improve capability of the reclaimer in dark or bad whether. It obtains the 3D shape of the pile by the laser scanners mounted the reclaimer, and extracts the landing position through computer vision techniques. All the operations of the reclaimer can be controlled automatically in the remote control room. The system can control simultaneously six reclaimers. And it has been successfully implanted to the reclaimer in the stockyards of Majishan of Bao Steel Co. and show satisfactory result.

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Bradley, C., and S. Kurada. "Machine Vision Monitoring for Automated Surface Finishing." Journal of Manufacturing Science and Engineering 121, no. 3 (1999): 457–65. http://dx.doi.org/10.1115/1.2832703.

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A considerable amount of research has recently been performed on automated die and mold finishing systems. The research has tended to focus on the development of the finishing tool, the means of positioning and controlling the tool or efficient algorithms for moving the tool to achieve desired degrees of surface roughness. However, there has been relatively less effort to develop sensors suitable for providing the critical surface finish data necessary for any closed loop system. This paper presents two algorithms that, when coupled with machine vision hardware, are capable of providing surfac

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Saini, Deepika, and Sanjeev Kumar. "Quantization error in stereo imaging system with noise distributions." International Journal of Modeling, Simulation, and Scientific Computing 11, no. 05 (2020): 2050042. http://dx.doi.org/10.1142/s1793962320500427.

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The problem of estimating quantization error in 2D images is an inherent problem in computer vision. The outcome of this problem is directly related to the error in reconstructed 3D position coordinates of an object. Thus estimation of quantization error has its own importance in stereo vision. Although the quantization error cannot be controlled fully, still statistical error analysis helps us to measure the performance of stereo systems that relies on the imaging parameters. Generally, it is assumed that the quantization error in 2D images is distributed uniformly that need not to be true fr

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Wang, Ling, and Sitong Chen. "Student Physical Fitness Test System and Test Data Analysis System Based on Computer Vision." Wireless Communications and Mobile Computing 2021 (May 15, 2021): 1–8. http://dx.doi.org/10.1155/2021/5589065.

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Computer vision technology is one of the main research directions of artificial intelligence. With the rapid growth of image or video data scale and the improvement of computing power, computer vision technology has achieved unprecedented development in recent years and is widely used in a variety of scenes. This study mainly discusses the design of student physical fitness test system and test data analysis system based on computer vision. This study is mainly based on the motion attitude determination algorithm to identify the motion. In hardware configuration, the key is CPU and GPU. The mo

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Mollon, J. "Use of a computer-controlled raster display for rapid screening of colour vision." Ophthalmic and Physiological Optics 12, no. 1 (1992): 91. http://dx.doi.org/10.1016/0275-5408(92)90053-y.

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Almazán-Lázaro, Juan-Antonio, Elías López-Alba, and Francisco-Alberto Díaz-Garrido. "Improving Composite Tensile Properties during Resin Infusion Based on a Computer Vision Flow-Control Approach." Materials 11, no. 12 (2018): 2469. http://dx.doi.org/10.3390/ma11122469.

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Liquid composite manufacturing techniques, mainly applied in the transport industry, have been studied and optimized for decades while defect analysis and its minimization have been a goal to increase reliability and mechanical performance. Researchers have found that many process parameters have a strong influence on the mechanical behavior of composite structures where the flow front velocity, closely related to voids, plays a considerable role. In this work, the optimal flow front velocity was evaluated and controlled using a computer vision system for different laminates improving the mech

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Draghici, Sorin. "A Neural Network Based Artificial Vision System for Licence Plate Recognition." International Journal of Neural Systems 08, no. 01 (1997): 113–26. http://dx.doi.org/10.1142/s0129065797000148.

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This paper presents a neural network based artificial vision system able to analyze the image of a car given by a camera, locate the registration plate and recognize the registration number of the car. The paper describes in detail various practical problems encountered in implementing this particular application and the solution used to solve them. The main features of the system presented are: controlled stability-plasticity behavior, controlled reliability threshold, both off-line and on-line learning, self assessment of the output reliability and high reliability based on high level multip

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O’Brien, Matthew, Dennis A. Cooper, and Panashe Mhembere. "The continuous-flow synthesis of carbazate hydrazones using a simplified computer-vision controlled liquid–liquid extraction system." Tetrahedron Letters 57, no. 47 (2016): 5188–91. http://dx.doi.org/10.1016/j.tetlet.2016.10.018.

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Rodrigues, M. A., Y. E. Li, M. H. Lee, and J. J. Rowland. "Robotic grasping of complex shapes: is full geometrical knowledge of the shape really necessary?" Robotica 13, no. 5 (1995): 499–506. http://dx.doi.org/10.1017/s0263574700018336.

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SummaryThis paper aims at contributing to a sub-symbolic, feedback-based “theory of robotic grasping” where no full geometrical knowledge of the shape is assumed. We describe experimental results on grasping 2D generic shapes without traditional geometrical processing. Grasping algorithms are used in conjunction with a vision system and a robot manipulator with a three-fingered gripper is used to grasp several different shapes. The altorithms are run on the shape as it appears on the computer screen (i.e. directly from a vision system). Simulated gripper ringer with virtual sensors are configu

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Du, Qin Jun, Chao Sun, and Xing Guo Huang. "Motion Control System Design of a Humanoid Robot Based on Stereo Vision." Applied Mechanics and Materials 55-57 (May 2011): 877–80. http://dx.doi.org/10.4028/www.scientific.net/amm.55-57.877.

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Vision is an important means of the humanoid robot to get external environmental information; vision system is an important part of humanoid robot. The system of a humanoid robot with the functions of visual perception and object manipulation is very complex because the body of the humanoid robot possesses many joint units and sensors. Two computers linked by Memolink communication unit is adopted to meet the needs of real time motion control and visual information processing tasks. The motion control system included coordination control computer, the distributed DSP joint controllers, DC moto

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Kolker, Alexey, Alexander Winkler, and Jozef Suchý. "Stabilization of the Robot Mounted Inverted Pendulum by Vision Control." Applied Mechanics and Materials 282 (January 2013): 7–17. http://dx.doi.org/10.4028/www.scientific.net/amm.282.7.

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In this paper the stabilization of the well known inverted pendulum problem by visual control is presented. The pendulum is mounted on the flange of an articulated robot arm. It is observed by camera and its angle of inclination is computed by image processing on a PC. For stabilization a state space controller realized with the standard robot controller is used. In summary, this system can be seen as an example of a robot with visual control. The inverted pendulum is used because it is an adequate controlled system to demonstrate advanced control algorithms. Its implementation with a robot re

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Kuo, W. M., S. F. Chuang, C. Y. Nian, and Y. S. Tarng. "Precision nano-alignment system using machine vision with motion controlled by piezoelectric motor." Mechatronics 18, no. 1 (2008): 21–34. http://dx.doi.org/10.1016/j.mechatronics.2007.07.010.

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Li, Wei, Jingqian Wen, Qing Jiang, Liangtu Song, and Zhengyong Zhang. "Implementation of a Fuzzy Logic Control Strategy on a Harvester’s Controller Based on MATLAB Environment." International Journal of Pattern Recognition and Artificial Intelligence 33, no. 13 (2019): 1959043. http://dx.doi.org/10.1142/s0218001419590432.

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Due to the nonlinear process of grain harvesting, there is no precise mathematical model to describe the behavior of the cleaning system of a harvester. Both the classical control and modern control methods cannot fulfil the requirements. Owing to this, the intelligent control algorithm was proposed, and the fuzzy logic control (FLC) method is a type of this. At present, most FLC algorithms are proposed in a MATLAB environment. However, the control problems in reality are controlled by microcomputer controllers with different chips. The control language of the microcomputer controller is usual

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Grigorescu, Sorin, Cosmin Ginerica, Mihai Zaha, Gigel Macesanu, and Bogdan Trasnea. "LVD-NMPC: A learning-based vision dynamics approach to nonlinear model predictive control for autonomous vehicles." International Journal of Advanced Robotic Systems 18, no. 3 (2021): 172988142110195. http://dx.doi.org/10.1177/17298814211019544.

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In this article, we introduce a learning-based vision dynamics approach to nonlinear model predictive control (NMPC) for autonomous vehicles, coined learning-based vision dynamics (LVD) NMPC. LVD-NMPC uses an a-priori process model and a learned vision dynamics model used to calculate the dynamics of the driving scene, the controlled system’s desired state trajectory, and the weighting gains of the quadratic cost function optimized by a constrained predictive controller. The vision system is defined as a deep neural network designed to estimate the dynamics of the image scene. The input is bas

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Namboodiri, Sandhya Parameswaran, and Venkataraman D. "A computer vision based image processing system for depression detection among students for counseling." Indonesian Journal of Electrical Engineering and Computer Science 14, no. 1 (2019): 503. http://dx.doi.org/10.11591/ijeecs.v14.i1.pp503-512.

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Psychological problems in college students like depression, pessimism, eccentricity, anxiety etc. are caused principally due to the neglect of continuous monitoring of students’ psychological well-being. Identification of depression at college level is desirable so that it can be controlled by giving better counseling at the starting stage itself. The disturbed mental state of a student suffering from depression would be clearly evident in the student’s facial expressions.Identification of depression in large group of college students becomes a tedious task for an individual. But advances in t

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GOULART, PAULO R. K., MARCIO L. BANDEIRA, DANIELA TSUBOTA, NESTOR N. OIWA, MARCELO F. COSTA, and DORA F. VENTURA. "A computer-controlled color vision test for children based on the Cambridge Colour Test." Visual Neuroscience 25, no. 3 (2008): 445–50. http://dx.doi.org/10.1017/s0952523808080589.

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The present study aimed at providing conditions for the assessment of color discrimination in children using a modified version of the Cambridge Colour Test (CCT, Cambridge Research Systems Ltd., Rochester, UK). Since the task of indicating the gap of the Landolt C used in that test proved counterintuitive and/or difficult for young children to understand, we changed the target stimulus to a patch of color approximately the size of the Landolt C gap (about 7° of visual angle at 50 cm from the monitor). The modifications were performed for the CCT Trivector test which measures color discriminat

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LEE, JI Y., KYO C. KANG, GERARD J. KIM, and HYE J. KIM. "ADDING FORM TO REAL-TIME SYSTEM SPECIFICATION AND SIMULATION." International Journal of Software Engineering and Knowledge Engineering 09, no. 05 (1999): 643–61. http://dx.doi.org/10.1142/s0218194099000346.

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Specification and validation of a real-time system are often based on making simplistic predictions and assumptions about relevant behavior of the external environment and the controlled device interacting with it. However, in many cases, real-time systems physically interact with other external objects in a complex manner in a dynamically changing world and thus, their form (e.g. physical properties such as shape, mass, material, and configuration) can play a critical role in producing a correct specification and obtaining realistic simulation output. We present ASADAL/PROTO, a specification

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Sun, Peng, Tong Qiang Ding, and Li Li Zheng. "Study on Automatic Control of Urban Traffic Based on Computer Vision." Advanced Materials Research 760-762 (September 2013): 1164–68. http://dx.doi.org/10.4028/www.scientific.net/amr.760-762.1164.

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Urban traffic control is not only a real-time control system but also random, non-linear, uncertainty complex system; the article discusses the use of PLC (programmable logic controller) control technology and fuzzy control method for traffic signal control system and how to complete the complex traffic control by using communications link technology between computers and application of fuzzy control theory, make vehicle and road navigation to realize intelligent.

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Grytsyk, V. V., A. B. Bondaruk, V. V. Grytsyk, I. I. Kravets, Yu V. Opotyak, and I. G. Tsmots. "Information technology of software-controlled rasters for the image acquiring for computer vision systems." Reports of the National Academy of Sciences of Ukraine, no. 5 (May 25, 2014): 34–38. http://dx.doi.org/10.15407/dopovidi2014.05.034.

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Gaspar, Francisco, Vitor Guerreiro, Paulo Loureiro, Paulo Costa, Sílvio Mendes, and Carlos Rabadão. "Prototype to Increase Crosswalk Safety by Integrating Computer Vision with ITS-G5 Technologies." Information 11, no. 11 (2020): 503. http://dx.doi.org/10.3390/info11110503.

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Human errors are probably the main cause of car accidents, and this type of vehicle is one of the most dangerous forms of transport for people. The danger comes from the fact that on public roads there are simultaneously different types of actors (drivers, pedestrians or cyclists) and many objects that change their position over time, making difficult to predict their immediate movements. The intelligent transport system (ITS-G5) standard specifies the European communication technologies and protocols to assist public road users, providing them with relevant information. The scientific communi

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Yelamarthi, Kumar, Raghudeep Kannavara, and Sanjay Boddhu. "A Perceptual Computing based Gesture Controlled Quadcopter for Visual Tracking and Transportation." International Journal of Monitoring and Surveillance Technologies Research 3, no. 2 (2015): 57–67. http://dx.doi.org/10.4018/ijmstr.2015040104.

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One of the fundamental challenges faced by an inexperienced user in portable unmanned aerial vehicle (UAV) such as quadcopters is flight control, often leading to crashes. Addressing this challenge, and leveraging upon the technological advancement in perceptual computing and computer vision, this research presents a modular system that allows for hand gesture based flight control of UAV, alongside a transport mechanism for portable objects. In addition to ascertain smooth flight control by avoiding obstacles in navigation path, real-time video feedback is relayed from the UAV to user, thus al

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Perez, Elisa, Carlos Soria, Oscar Nasisi, Teodiano Freire Bastos, and Vicente Mut. "Robotic wheelchair controlled through a vision-based interface." Robotica 30, no. 5 (2011): 691–708. http://dx.doi.org/10.1017/s0263574711000919.

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SUMMARYIn this work, a vision-based control interface for commanding a robotic wheelchair is presented. The interface estimates the orientation angles of the user's head and it translates these parameters in command of maneuvers for different devices. The performance of the proposed interface is evaluated both in static experiments as well as when it is applied in commanding the robotic wheelchair. The interface calculates the orientation angles and it translates the parameters as the reference inputs to the robotic wheelchair. Control architecture based on the dynamic model of the wheelchair

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Wang, Liang, Jianliang Ai, Li Zhang, and Zhenlin Xing. "Design of Airport Obstacle-Free Zone Monitoring UAV System Based on Computer Vision." Sensors 20, no. 9 (2020): 2475. http://dx.doi.org/10.3390/s20092475.

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In recent years, a rising number of incidents between Unmanned Aerial Vehicles (UAVs) and planes have been reported at airports and airfields. A design scheme for an airport obstacle-free zone monitoring UAV system based on computer vision is proposed. The system integrates the functions of identification, tracking, and expelling and is mainly used for low-cost control of balloon airborne objects and small aircrafts. First, a quadcopter dynamic model and 2-Degrees of Freedom (2-DOF) Pan/Tilt/Zoom (PTZ) model are analyzed, and an attitude back-stepping controller based on disturbance compensati

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Aroca, Rafael Vidal, Carlos E. H. Ventura, Igor De Mello, and Tatiana F. P. A. T. Pazelli. "Sequential additive manufacturing: automatic manipulation of 3D printed parts." Rapid Prototyping Journal 23, no. 4 (2017): 653–59. http://dx.doi.org/10.1108/rpj-02-2016-0029.

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Purpose This paper aims to present a monitoring system and the usage of a robotic arm to remove finished parts of a three-dimensional (3D) printer build plate, enabling 3D printers to continuously build a sequence of parts. Design/methodology/approach The system relies on a 2-degree of freedom planar manipulator. The moment to remove printed parts from the printer build plate can be determined based on direct communication with the 3D printer control software or using information from a computer vision system that applies background subtraction and Speeded up Robust Features methods. Findings

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Li, Tsung Han, Kuei Shu Hsu, Long Jyi Yeh, and Feng Tsai Weng. "Development and Application of the Human Visual Using Image Tracking System." Applied Mechanics and Materials 58-60 (June 2011): 2396–401. http://dx.doi.org/10.4028/www.scientific.net/amm.58-60.2396.

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Thread control method can promote system performance in the main purpose of this paper control system, divide by Thread CPU raise with time stage laying computer handle efficiency raise. Thread applies to the control system of the computer, the main purpose of this paper adopts the control of Thread in its procedure of image tracking and servo control system, the characteristic of utilizing Thread to carry out in step improves image Tracking and servo error rate controlled. In the main purpose of this paper compares with single thread to Thread, Thread improves Tracking pace and stabilizes tim

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Gu, Chun Qing, Zhi Hong Yan, Qiang Liu, and Yong Lun Song. "Vision-Based Industrial X-Ray Film Digitizing and Automatic Identification System." Applied Mechanics and Materials 494-495 (February 2014): 973–78. http://dx.doi.org/10.4028/www.scientific.net/amm.494-495.973.

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In this paper, a set of industrial X-ray film digitizing and automatic identification system is established with machine vision equipment. With this system, the industrial film can be digitalized rapidly and in high space resolution reaching to 860 DPI. The machine vision equipment includes linear CCD, light source, lens, aperture and film-moving machine. The controller is a master-slave mode, which includes a PC as the upper computer and an embedded system as the lower computer. The embedded system is composed by ARM and FPGA modules, which can control four axis motors and transmit an externa

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Canedo, Daniel, and António J. R. Neves. "Facial Expression Recognition Using Computer Vision: A Systematic Review." Applied Sciences 9, no. 21 (2019): 4678. http://dx.doi.org/10.3390/app9214678.

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Emotion recognition has attracted major attention in numerous fields because of its relevant applications in the contemporary world: marketing, psychology, surveillance, and entertainment are some examples. It is possible to recognize an emotion through several ways; however, this paper focuses on facial expressions, presenting a systematic review on the matter. In addition, 112 papers published in ACM, IEEE, BASE and Springer between January 2006 and April 2019 regarding this topic were extensively reviewed. Their most used methods and algorithms will be firstly introduced and summarized for

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Muthu Mariappan H and Dr Gomathi V. "Indian Sign Language Recognition through Hybrid ConvNet-LSTM Networks." EMITTER International Journal of Engineering Technology 9, no. 1 (2021): 182–203. http://dx.doi.org/10.24003/emitter.v9i1.613.

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Dynamic hand gesture recognition is a challenging task of Human-Computer Interaction (HCI) and Computer Vision. The potential application areas of gesture recognition include sign language translation, video gaming, video surveillance, robotics, and gesture-controlled home appliances. In the proposed research, gesture recognition is applied to recognize sign language words from real-time videos. Classifying the actions from video sequences requires both spatial and temporal features. The proposed system handles the former by the Convolutional Neural Network (CNN), which is the core of several

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Wu, C. S., and Y. C. Liu. "Rule-Based Control of Weld Bead Width in Pulsed Gas Tungsten Arc Welding (GTAW)." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 210, no. 1 (1996): 93–98. http://dx.doi.org/10.1243/pime_proc_1996_210_090_02.

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A rule-based control system of weld bead width is established for realizing in-process control of pulsed gas tungsten arc welding. The system consists of a microprocessor-controlled power supply and working table, a solid state television camera, a high-speed analogue-to-digital converter and an image processing and control computer. Considering the characteristic of arc light and its influence on vision sensing, special measures were taken for image capturing, processing and weld bead width extraction. The rule-based model was combined with the principle of PID (proportional integral derivati

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Fujita, Toyomi, Takayuki Tanaka, Satoru Takahashi, Hidenori Takauji, and Shun’ichi Kaneko. "Special Issue on Vision and Motion Control." Journal of Robotics and Mechatronics 27, no. 2 (2015): 121. http://dx.doi.org/10.20965/jrm.2015.p0121.

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Robot vision is an important robotics and mechatronics technology for realizing intelligent robot systems that work in the real world. Recent improvements in computer processing are enabling environment to be recognized and robot to be controlled based on dynamic high-speed, highly accurate image information. In industrial application, target objects are detected much more robustly and reliably through high-speed processing. In intelligent systems applications, security systems that detect human beings have recently been applied positively in computer vision. Another attractive application is

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Penttilä, Sakari, Paul Kah, Juho Ratava, and Harri Eskelinen. "Artificial Neural Network Controlled GMAW System: Penetration and Quality Assurance in a Multi-Pass Butt Weld Application." International Journal of Advanced Manufacturing Technology 105, no. 7-8 (2019): 3369–85. http://dx.doi.org/10.1007/s00170-019-04424-4.

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Abstract Intelligent welding parameter control is fast becoming a key instrument for attaining quality consistency in automated welding. Recent scientific breakthroughs in intelligent systems have turned the focus of adaptive welding control to artificial intelligence-based welding parameter control. The aim of this study is to combine artificial neural network (ANN) decision-making software and a machine vision system to develop an adaptive artificial intelligence (AI)-based gas metal arc welding (GMAW) parameter control system. The machine vision system uses a laser sensor to scan the upcomi

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Tseng, Din-Chang, Chien-Hung Chen, and Yi-Ming Chen. "Autonomous Tracking by an Adaptable Scaled KCF Algorithm." International Journal of Machine Learning and Computing 11, no. 1 (2021): 48–54. http://dx.doi.org/10.18178/ijmlc.2021.11.1.1013.

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A multicopter is equipped by a passive tracking device to follow a specified target. However, if want to track a non-controlled target, the passive tracking device is failed. We propose a vision-based tracking system for multicopters, used computer vision method to track any target without additional tracking devices. In this study, propose scale candidate graphs and scale tables to improve KCF. There are also stable results when the scale changes. The proposed an adaptable scaled KCF algorithm, when the KCF tracking failed, a feature-based matching detector is used to re-detect the target. Se

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Ho, Chao Ching. "Image Processing Algorithm for Tracking and Picking an Object for an Open Platform Mobile Robot." Key Engineering Materials 419-420 (October 2009): 569–72. http://dx.doi.org/10.4028/www.scientific.net/kem.419-420.569.

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Designing a visual tracking system to pick-and-place an object is a complex task because a large amount of video data must be transmitted and processed in real time. In this work, a mobile robot visual control system is proposed which uses a stereo vision to acquire the 3D positions of a target color ball and to control an end-effector to pick the ball up and place it in the specified location. This mobile robotic system is based on the Open Source Computer Vision Library for programming framework with portable components, off-the-shelf commercial hardware, and minimal programming. Two calibra

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Shirinzadeh, Bijan. "Vision‐based tracking and control of remotely controlled vehicles." Industrial Robot: An International Journal 24, no. 4 (1997): 297–301. http://dx.doi.org/10.1108/01439919710176390.

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N, Aswini, and Uma S V. "Obstacle avoidance and distance measurement for unmanned aerial vehicles using monocular vision." International Journal of Electrical and Computer Engineering (IJECE) 9, no. 5 (2019): 3504. http://dx.doi.org/10.11591/ijece.v9i5.pp3504-3511.

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<span lang="EN-US">Unmanned Aerial Vehicles or commonly known as drones are better suited for "dull, dirty, or dangerous" missions than manned aircraft. The drone can be either remotely controlled or it can travel as per predefined path using complex automation algorithm built during its development. In general, Unmanned Aerial Vehicle (UAV) is the combination of Drone in the air and control system on the ground. Design of an UAV means integrating hardware, software, sensors, actuators, communication systems and payloads into a single unit for the application involved. To make it complet

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