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Wyświetlanie 1-15 z 62
Tytuł:
3D-scanning system for railway current collector contact strips
Autorzy:
Judek, S.
Jarzębowicz, L.
Powiązania:
https://bibliotekanauki.pl/articles/97373.pdf
Data publikacji:
2013
Wydawca:
Politechnika Poznańska. Wydawnictwo Politechniki Poznańskiej
Tematy:
3D machine vision
current collector
railway safety
shape measurement
measurement by laser beam
Opis:
Undisturbed collection of current from a contact wire of the catenary constitutes one of the basic elements in reliable operation of electrified rail transport, particularly when vehicles move at high speed. Quality of current collection is influenced by the construction of catenary and current collectors, as well as by the technical condition and regulation of these two elements. Total contact force of a current collector head on contact line and the condition of contact strip surface determine the quality of the contact between a current collector and contact line. This paper presents an innovative stand for diagnosing contact strips on current collectors with the use of 3D imaging technique. The stand has been tested in laboratory and during trial exploitation on a railway line. Implementation potential of the proposed method has been confirmed.
Źródło:
Computer Applications in Electrical Engineering; 2013, 11; 328-335
1508-4248
Pojawia się w:
Computer Applications in Electrical Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A generalised approach to the use of sampling for rapid object location
Autorzy:
Davies, E. R.
Powiązania:
https://bibliotekanauki.pl/articles/908048.pdf
Data publikacji:
2008
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
widzenie maszynowe
szybka lokalizacja obiektu
technika próbkowania
machine vision
automated inspection and assembly
rapid object location
sampling techniques
Opis:
This paper has developed a generalised sampling strategy for the rapid location of objects in digital images. In this strategy a priori information on the possible locations of objects is used to guide the sampling process, and earlier body-based and edge-based approaches emerge automatically on applying the right a priori probability maps. In addition, the limitations of the earlier regular sampling technique have been clarified and eased—with the result that sampling patterns are better matched to the positions of the image boundaries. These methods lead to improved speeds of operation both in the cases where all the objects in an image have to be located and also where the positions of individual objects have to be updated. Finally, the method is interesting in being intrinsically able to perform full binary search tree edge location without the need for explicit programming.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2008, 18, 1; 7-19
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A machine learning-based mobile robot visual homing approach
Autorzy:
Zhu, Q.
Ji, X.
Wang, J.
Cai, C.
Powiązania:
https://bibliotekanauki.pl/articles/201706.pdf
Data publikacji:
2018
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
robot navigation
visual homing
panoramic vision sensors
machine learning
homing performance
nawigacja robotów
panoramiczny czujnik wizyjny
uczenie maszynowe
Opis:
Visual homing enables mobile robots to move towards a previously visited location solely based on panoramic vision sensors. In this paper, a SIFT-based visual homing approach incorporating machine learning is presented. The proposed approach can reduce the impact of inaccurate landmarks on the performance, and generate more precise home direction with simple model. The effectiveness of the proposed approach is verified on both panoramic image databases and actual mobile robot, experimental results reveal that compared to some traditional visual homing methods, the proposed approach exhibits better homing performance and adaptability in both static and dynamic environments.
Źródło:
Bulletin of the Polish Academy of Sciences. Technical Sciences; 2018, 66, 5; 621-634
0239-7528
Pojawia się w:
Bulletin of the Polish Academy of Sciences. Technical Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A New Approach to Spindle Radial Error Evaluation Using a Machine Vision System
Autorzy:
Kavitha, C.
Ashok, S. D.
Powiązania:
https://bibliotekanauki.pl/articles/220748.pdf
Data publikacji:
2017
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
machine vision
circular hough transform
Fourier series
runout
spindle radial error
Opis:
The spindle rotational accuracy is one of the important issues in a machine tool which affects the surface topography and dimensional accuracy of a workpiece. This paper presents a machine-vision-based approach to radial error measurement of a lathe spindle using a CMOS camera and a PC-based image processing system. In the present work, a precisely machined cylindrical master is mounted on the spindle as a datum surface and variations of its position are captured using the camera for evaluating runout of the spindle. The Circular Hough Transform (CHT) is used to detect variations of the centre position of the master cylinder during spindle rotation at subpixel level from a sequence of images. Radial error values of the spindle are evaluated using the Fourier series analysis of the centre position of the master cylinder calculated with the least squares curve fitting technique. The experiments have been carried out on a lathe at different operating speeds and the spindle radial error estimation results are presented. The proposed method provides a simpler approach to on-machine estimation of the spindle radial error in machine tools.
Źródło:
Metrology and Measurement Systems; 2017, 24, 1; 201-219
0860-8229
Pojawia się w:
Metrology and Measurement Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A new approach to the histogram-based segmentation of synthetic aperture radar images
Autorzy:
Siemiatkowska, Barbara
Gromada, Krzysztof
Powiązania:
https://bibliotekanauki.pl/articles/1837363.pdf
Data publikacji:
2021
Wydawca:
Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:
SAR image
machine vision
Opis:
Radar machine vision is an emerging research field in the mobile robotics. Because Synthetic Aperture Radars (SAR) are robust against weather and light condition, they pro‐ vide more useful and reliable information than optical images. On the other hand, the data processing is more complicated and less researched than visible light images processing. The main goal of our research is to build sim‐ ple and efficient method of SAR image analysis. In this ar‐ ticle we describe our research related to SAR image seg‐ mentation and attempts to detect elements such as the buildings, roads and forest areas. Tests were carried out for the images made available by Leonardo Airborne & Space System Company.
Źródło:
Journal of Automation Mobile Robotics and Intelligent Systems; 2021, 15, 1; 39-42
1897-8649
2080-2145
Pojawia się w:
Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A novel method for 3D measurement of RFID multi-tag network using a machine vision system
Autorzy:
Zhuang, X.
Yu, X.
Zhao, Z.
Zhang, W.
Liu, Z.
Lu, D.
Dong, D.
Powiązania:
https://bibliotekanauki.pl/articles/221058.pdf
Data publikacji:
2018
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
3D measurement
RFID multi-tag network
dual-CCD system
neural network
machine vision
Opis:
The three-dimensional (3D) coordinate measurement of radio frequency identification (RFID) multi-tag networks is one of the important issues in the field of RFID, which affects the reading performance of RFID multi-tag networks. In this paper, a novel method for 3D coordinate measurement of RFID multi-tag networks is proposed. A dual-CCD system (vertical and horizontal cameras) is used to obtain images of RFID multi-tag networks from different angles. The iterative threshold segmentation and the morphological filtering method are used to process the images. The template matching method is respectively used to determine the two-dimensional (2D) coordinate and the vertical coordinate of each tag. After that, the 3D coordinate of each tag is obtained. Finally, a back-propagation (BP) neural network is used to model the nonlinear relationship between the RFID multi-tag network and the corresponding reading distance. The BP neural network can predict the reading distances of unknown tag groups and find out the optimal distribution structure of the tag groups corresponding to the maximum reading distance. In the future work, the corresponding in-depth research on the neural network to adjust the distribution of tags will be done.
Źródło:
Metrology and Measurement Systems; 2018, 25, 3; 475-486
0860-8229
Pojawia się w:
Metrology and Measurement Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A QMS-compliant multiparameter system for optical inspection of manufactured products
System wieloparametrycznej kontroli wyrobów w procesie produkcji z wykorzystaniem metod optycznej inspekcji przystosowanej do wymagań systemów zarządzania jakością
Autorzy:
Zając, J.
Małkiński, W.
Dworak, M.
Powiązania:
https://bibliotekanauki.pl/articles/256666.pdf
Data publikacji:
2006
Wydawca:
Sieć Badawcza Łukasiewicz - Instytut Technologii Eksploatacji - Państwowy Instytut Badawczy
Tematy:
systemy wizji maszynowej
przetwarzanie obrazów
analiza obrazów
automatyczna inspekcja optyczna
swobodny spadek
akwizycja poruszających się obiektów
baza danych
system zarządzania jakością
machine vision systems
image processing
image analysis
automated optical inspection
free fall
acquisition of moving objects
database
quality management system
Opis:
The system described in this paper provides automated optical inspection of free-falling products. It was designed to inspect plastic nose pads for eyeglasses. The solutions relating to the integrated image acquisition and the processing and analysis techniques allow achieving high inspection efficiency. The system also assures the possibility of full archiving of the inspection results for further reference, processing or statistical analysis.
Opisany w artykule system automatycznej inspekcji optycznej przeznaczony jest do inspekcji jakości swobodnie spadających detali. Zrealizowano aplikację, w której inspekcji podlegają plastikowe noski do okularów. Zastosowane rozwiązania w zakresie akwizycji obrazów oraz technik przetwarzania i analizy umożliwiły uzyskanie dużej wydajności inspekcji. Opracowany system zapewnia również możliwość pełnego archiwizowania wyników inspekcji w celu późniejszego porównywania, przetwarzania czy analizy statystycznej.
Źródło:
Problemy Eksploatacji; 2006, 4; 215-230
1232-9312
Pojawia się w:
Problemy Eksploatacji
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A stereovision system for three-dimensional measurements of machines
Autorzy:
Grudziński, Marek
Marchewka, Łukasz
Powiązania:
https://bibliotekanauki.pl/articles/135398.pdf
Data publikacji:
2019
Wydawca:
Akademia Morska w Szczecinie. Wydawnictwo AMSz
Tematy:
stereovision system
machine vision
camera tracking
camera calibration
calibration pattern
3D reconstruction
Opis:
The modern manufacturing or transportation machines that are used in industrial processes require continuous supervision in certain circumstances and even manual control by a human. Despite the fact the machines are more and more reliable and accurate than they used to be there is still the need for manual and time-consuming programming and safety control, especially when the external conditions change. For the operation of large machines, where the risk of damage and even disaster exists, an additional supervisory system based on vision devices could be utilized. The vision systems are commonly used in a range of simple 2D detection as well as very precise 3D reconstruction. The stereovision systems could be applied for unusual operations, especially in terms of safety and collision avoidance, such as crane observations while transporting a heavy load, robot and CNC machine preparation and normal operation. Through the use of optical devices the observed objects could be quickly positioned. In this research a test bench for stereovision reconstruction for the example of a robotic arm has been presented. The calibration procedures have been explained and accuracy tests in a large measuring volume were performed. Finally the possibilities of the applications and the utilization of such a system have been assessed.
Źródło:
Zeszyty Naukowe Akademii Morskiej w Szczecinie; 2019, 58 (130); 16-23
1733-8670
2392-0378
Pojawia się w:
Zeszyty Naukowe Akademii Morskiej w Szczecinie
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
An approach to an intelligent scanning of the machine tool workspace
Autorzy:
Marchewka, Lukasz
Grudzinski, Marek
Powiązania:
https://bibliotekanauki.pl/articles/1429066.pdf
Data publikacji:
2021
Wydawca:
Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych
Tematy:
machine vision
machine tool
on-machine measurement
3D scanning
Opis:
Modern 3D scanners can measure the geometry with high accuracy and within a short time. In turn, currently produced CNC machine tools allow for very accurate manufacturing; however, processes beyond the machining cycle remain time-consuming. This paper presents the idea and experimental tests of the scanning system in the CNC machine, which allows to speed up on-machine measurements, align clouds of 3D data points with an accuracy close to that of the machine itself, and finally set the workpiece coordinate system for machining. This modern approach is in line with Industry 4.0, combining the terms of data processing, machine vision, manufacturing automation, and human-machine interfaces. The future implementation of the proposed system as an interchangeable tool will allow performing autonomous measurements, inspection, and supervision of the workspace, without engaging the machine operator. The system calibration and experimental results using the industrial 3D scanner and CNC machine are described.
Źródło:
Journal of Machine Engineering; 2021, 21, 2; 60-74
1895-7595
2391-8071
Pojawia się w:
Journal of Machine Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
An autonomous monitoring system based on object shape detection
Autorzy:
Deniziak, S.
Michno, T.
Pięta, P.
Powiązania:
https://bibliotekanauki.pl/articles/114662.pdf
Data publikacji:
2015
Wydawca:
Stowarzyszenie Inżynierów i Techników Mechaników Polskich
Tematy:
monitoring system
object identification
image retrieval
machine vision
Opis:
In traditional monitoring systems, stationary cameras are supervised only by a human operator, who may easily miss some events recorded by a camera. Because it is imperative for a surveillance system to be reliable, its autonomy can be extended by applying computer vision algorithms to a video signal and also by the use of mobile robots capable of monitoring tight and occluded areas. In this paper, we present an overview of the concept of an autonomous monitoring system based on object shape detection. Our goal is to develop a real-time system which robustly and efficiently identifies objects on the basis of their approximate shape. For monitoring the environment we use active and smart cameras capable of remote position control, as well as mobots equipped with video sensors. After performing the object extraction from individual video frames, each new detected object is decomposed into simple graphical primitives like lines, circles, rectangles etc. and then identified in a database using the Query by Shape (QS) method.
Źródło:
Measurement Automation Monitoring; 2015, 61, 7; 349-351
2450-2855
Pojawia się w:
Measurement Automation Monitoring
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Analysis of computer vision and image analysis technics
Autorzy:
Rybchak, Z.
Basystiuk, O.
Powiązania:
https://bibliotekanauki.pl/articles/411187.pdf
Data publikacji:
2017
Wydawca:
Polska Akademia Nauk. Oddział w Lublinie PAN
Tematy:
computer vision
image recognition
object recognition
machine learning
computer with high-level understanding
digital images processing
scene reconstruction
wizja komputerowa
rozpoznawanie obrazów
rozpoznawanie obiektów
systemy uczące się
cyfrowe przetwarzanie obrazów
Opis:
Computer vision and image recognition are one of the most popular theme nowadays. Moreover, this technology developing really fast, so filed of usage increased. The main aims of this article are explain basic principles of this field and overview some interesting technologies that nowadays are widely used in computer vision and image recognition.
Źródło:
ECONTECHMOD : An International Quarterly Journal on Economics of Technology and Modelling Processes; 2017, 6, 2; 79-84
2084-5715
Pojawia się w:
ECONTECHMOD : An International Quarterly Journal on Economics of Technology and Modelling Processes
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Analysis of large particle sizes using a machine vision system
Autorzy:
Zhang, Z.
Yang, J.
Su, X.
Ding, L.
Powiązania:
https://bibliotekanauki.pl/articles/109404.pdf
Data publikacji:
2013
Wydawca:
Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Tematy:
machine vision
particle size distribution
equivalent ellipse
best-fit rectangle
representing analysis
Opis:
Many methods based on machine vision were used to estimate coarse particles size distribution in recent years, but comparison of accuracy parameters representing particle size has not been carried out and a related representing analysis has not been yet proposed. Nine parameters were investigated. The results indicated the minor axis of equivalent ellipse and breadth of the best-fit rectangle were the most suitable for representing particle size. The former accuracy ratio was 86.43% and the latter accuracy ratio was 85.39%, while the accuracy of other parameters was less than 70%. A related representing analysis was proposed to explain this phenomenon. This research is instructive and meaningful for the size distribution estimation by machine vision.
Źródło:
Physicochemical Problems of Mineral Processing; 2013, 49, 2; 397-405
1643-1049
2084-4735
Pojawia się w:
Physicochemical Problems of Mineral Processing
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Application of an artificial neural network for planning the trajectory of a mobile robot
Autorzy:
Białek, Marcin
Nowak, Patryk
Rybarczyk, Dominik
Powiązania:
https://bibliotekanauki.pl/articles/384525.pdf
Data publikacji:
2020
Wydawca:
Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
Tematy:
artificial neural network
mobile robot
machine vision
Opis:
This paper presents application of a neural network in the task of planning a mobile robot trajectory. First part contains a review of literature focused on the mobile robots’ orientation and overview of artificial neural networks’ application in area of robotics. In these sections devices and approaches for collecting data of mobile robots environment have been specified. In addition, the principle of operation and use of artificial neural networks in trajectory planning tasks was also presented. The second part focuses on the mobile robot that was designed in a 3D environment and printed with PLA material. The main onboard logical unit is Arduino Mega. Control system consist of 8-bits microcontrollers and 13 Mpix camera. Discussion in part three describes the system positioning capability using data from the accelerometer and magnetometer with overview of data filtration and the study of the artificial neural network implementation to recognize given trajectories. The last chapter contains a summary with conclusions.
Źródło:
Journal of Automation Mobile Robotics and Intelligent Systems; 2020, 14, 1; 13-23
1897-8649
2080-2145
Pojawia się w:
Journal of Automation Mobile Robotics and Intelligent Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Automatic calibration system for digital-display vibrometers based on machine vision
Autorzy:
He, W.
Xu, G.
Rong, Z.
Li, G.
Liu, M.
Powiązania:
https://bibliotekanauki.pl/articles/221163.pdf
Data publikacji:
2014
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
image recognition
calibration
vibration measurement
machine vision
automatic testing
digital-display vibrometer
Opis:
Considering the low efficiency during the process of traditional calibration for digital-display vibrometers, an automatic calibration system for vibrometers based on machine vision is developed. First, an automatic vibration control system is established on the basis of a personal computer, and the output of a vibration exciter on which a digital-display vibrometer to be calibrated is installed, is automatically adjusted to vibrate at a preset vibration level and a preset frequency. Then the display of the vibrometer is captured by a digital camera and identified by means of image recognition. According to the vibration level of the exciter measured by a laser interferometer and the recognized display of the vibrometer, the properties of the vibrometer are calculated and output by the computer. Image recognition algorithms for the display of the vibrometer with a high recognition rate are presented, and the recognition for vibrating digits and alternating digits is especially analyzed in detail. Experimental results on the built-up system show that the prposed image recognition methods are very effective and the system could liberate operators from boring and intense calibration work for digital-display vibrometers.
Źródło:
Metrology and Measurement Systems; 2014, 21, 2; 317-328
0860-8229
Pojawia się w:
Metrology and Measurement Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Automatic non-destructive quality inspection system for oil palm fruits
Autorzy:
Makky, M.
Soni, P.
Salokhe, V.M.
Powiązania:
https://bibliotekanauki.pl/articles/24184.pdf
Data publikacji:
2014
Wydawca:
Polska Akademia Nauk. Instytut Agrofizyki PAN
Tematy:
non-destructive quality
inspection system
fruit
African oil palm
quality inspection
fresh fruit
bunch
machine vision
Opis:
In this research a non-destructive, rapid and cost effective examination machine for the estimation of the ripeness fraction, oil content and free fatty acid level in oil palm fresh fruits bunch was developed. The automatic machine-vision based in- spection system provided consistency, rapid estimation and accep- table accuracy results in non-dest ructive manner. Fresh fruits bunch samples from Tenera cultivar (7 to 20 years trees) were taken from Cimulang plantation, Bogor, Indonesia. Two statistical analysis methods were used: a forward stepwise multiple linear regression analysis and a multilayer-perceptron artificial neural network analysis. The best prediction of ripeness and oil content models were obtained using the latter method, while the best free fatty acid prediction model was developed by the first method. The models were then employed in the machine-vision inspection systems of the machine. The system best prediction accuracy of ripeness, oil content and free fatty acid models was 93.5, 96.41, and 89.32%, with standard error of prediction being 0.065, 0.044 and 0.068, respectively. The system was tested through a series of field tests, and successfully examined more than 12 t of fruits bunch per hour, without causing damage.
Źródło:
International Agrophysics; 2014, 28, 3
0236-8722
Pojawia się w:
International Agrophysics
Dostawca treści:
Biblioteka Nauki
Artykuł
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