Dual-Camera Vision System for Fatigue Monitoring

2012 ◽  
Vol 726 ◽  
pp. 226-232 ◽  
Author(s):  
Tomasz Giesko
Keyword(s):  
Fatigue Fracture ◽  
Vision System ◽  
Specimen Surface ◽  
Fatigue Monitoring ◽  
Computer Unit ◽  
2D Images

The article presents a dual-camera vision system for fatigue monitoring composed of a vision unit, a camera positioning set and a computer unit. Vision modules are mounted onto the 4DOF positioning sets, which allows for an easy determination of the position of the camera in relation to the sample. The application of motorized measurement lenses with changeable configuration, thanks to the alteration of the distance of observation and the vision angle, enables the adaptation of the system to different scales of observation of the fatigue processes in the specimen surface. Automatic focus setting is realised with the use of the implemented algorithm. The software developed allows for the analysis of fatigue fracture for two 2D images or the 3D stereovision image.

scholarly journals Kalman filtering for dynamic motion and model estimation

2021 ◽  
Author(s):  
Randal Schumacher.
Keyword(s):  
Kalman Filtering ◽  
Vision System ◽  
Target Position ◽  
Model Estimation ◽  
Mass Center ◽  
Extended Kalman Filtering ◽  
Dynamic Motion ◽  
Filtering Technique ◽  
Time Determination

The fundamental task of a space vision system for rendezvous, capture, and servicing of satellites on-orbit is the real-time determination of the motion of the target vehicle as observed on-board a chaser vehicle. Augmenting the architecture to incorporate the highly regarded Kalman filtering technique can synthesize a system that is more capable, more efficient and more robust. A filter was designed and testing was conducted in an inertial environment and then in a more realistic relative motion orbital rendezvous scenario. The results indicate that a Dynamic Motion Filter based on extended Kalman filtering can provide the vision system routines with excellent initialization leading to faster convergence, reliable pose estimation at slower sampling rates, and the ability to estimate target position, velocity, orientation, angular velocity, and mass center location.

scholarly journals Developing an Automatic Color Determination Procedure for the Quality Assessment of Mangos (Mangifera indica) Using a CCD Camera and Color Standards

Foods ◽  
2020 ◽  
Vol 9 (11) ◽  
pp. 1709
Author(s):  
Khanitta Ratprakhon ◽  
Werner Neubauer ◽  
Katharina Riehn ◽  
Jan Fritsche ◽  
Sascha Rohn
Keyword(s):  
Vision System ◽  
Mangifera Indica ◽  
Color Space ◽  
Evaluation Process ◽  
Ccd Camera ◽  
Optimal Level ◽  
Blue Color ◽  
Color Code ◽  
Color Determination

Color is one of the key sensory characteristics in the evaluation of the quality of mangos (Mangifera indica) especially with regard to determining the optimal level of ripeness. However, an objective color determination of entire fruits can be a challenging task. Conventional evaluation methods such as colorimetric or spectrophotometric procedures are primarily limited to a homogenous distribution of the color. Accordingly, a direct assessment of the mango quality with regard to color requires more pronounced color determination procedures. In this study, the color of the peel and the pulp of the mango cultivars “Nam Dokmai”, “Mahachanok”, and “Kent” was evaluated and categorized into various levels of ripeness using a charge-coupled device (CCD) camera in combination with a computer vision system and color standards. The color evaluation process is based on a transformation of the RGB (red, green, and blue) color space values into the HSI (hue, saturation, and intensity) color system and the Natural Color Standard (NCS). The results showed that for pulp color codes, 0560-Y20R and 0560-Y40R can be used as appropriate indicators for the ripeness of the cultivars “Nam Dokmai” and “Mahachanok”. The peels of these two mango cultivars present two distinct colors (1050-Y40R and 1060-Y40R), which can be used to determine the fruit maturity during the post-ripening process. However, in the case of the cultivar “Kent”, peel color detection was not an applicable approach for determining ripeness; thus, the determination of the pulp color with the color code 0550-Y20R gave promising results.

scholarly journals Safety margin against the fatigue fracture under random loading

2018 ◽  
Vol 165 ◽  
pp. 22033 ◽  
Author(s):  
Martin Garan ◽  
Vladimír Chmelko ◽  
Ervin Schafer
Keyword(s):  
Yield Stress ◽  
Fatigue Fracture ◽  
Cross Section ◽  
Material Properties ◽  
Safety Margin ◽  
Time Varying ◽  
Random Loading ◽  
Fatigue Lifetime ◽  
Loading Process

The fatigue lifetime of the structure in operation is express in the number of working cycles, kilometers or time depending units. By harmonic process of loading is possible to express the safety margin as reserve against the required lifetime in the form of number cycles or amplitude of loading. By nonharmonic character of loading process in operation is difficult to express the level of safety margin as the reserve of loading (safety margin in loading). On the case of towing trailer will be discussed more ways of expression the reserve (safety margin) of structure against the fatigue fracture for required fatigue lifetime. For experimental acquired loading process in the most loaded cross-section will be discussed concept of determination of the level safety as reserve in the form of loading parameters. In the case, when the peaks of loading process exceeding the material yield stress (in the most loaded point of the structure) will be discussed concept of expression of loading in the form of time-varying process of strain. By using the cyclic material properties obtained in mode with controlled total strain is possible the safety margin to express also as the multiple of process loading parameters.

Development of Novel Detection Device for Chemical Properties of Dioscorea hispida

2012 ◽  
Vol 626 ◽  
pp. 464-469
Author(s):  
R. Syazili ◽  
R.M. Hudzari ◽  
Ain M. Kamarul ◽  
A.B.C. Abdullah ◽  
M.A.H.A. Ssomad
Keyword(s):  
Vision System ◽  
Color Space ◽  
Chemical Properties ◽  
Statistical Relationship ◽  
Machine Vision Application ◽  
Hardware Component ◽  
Economic Regions ◽  
Non Destructive ◽  
Vision Application

The potential of machine vision application in the determination of alkaloid inDioscorea hispidarhizome was explored. A camera vision system used in this research is chroma meter CR-400 made by Konica Minolta. The first component is the hardware component that functions as an image acquisitioned for the system. The second component is the software part which converts reading obtained from the hardware. From the design review, the images from a variety of harvested ofDioscorea hispidawill be captured and the reading in L*a*b color space were converted. The prediction was also made on the statistical relationship between Hue and dioscorine level in the fruit. With the same rhizomes, 40 grams was selected for chemical analysis at a laboratory for the programme of East Coastal Economic Regions Kementerian Pengajian Tinggi, Universiti Sultan Zainal Abidin, Malaysia (ECER-KPT UniSZA). The samples were selected from 12 portions of 2 plants (I and B) collected from Kampung Kudat, Ajil, Terengganu, Malaysia. The development on this study is grouped as non destructive method to determine the dioscorine content which is one of the alkaloid components in the rhizome ofDioscorea hispida.

Determination of fatigue fracture toughness by conventional rotary bending specimen

1984 ◽  
Vol 26 (1) ◽  
pp. 43-54 ◽  
Author(s):  
Yozo Sawaki ◽  
Naoya Aoyama ◽  
Tadashi Kawasaki
Keyword(s):  
Fracture Toughness ◽  
Fatigue Fracture

scholarly journals COORDINATED USE OF VISUAL ODOMETRY AND LANDMARKS FOR NAVIGATION OF MOBILE GROUND VEHICLES

2021 ◽  
Vol XLIV-2/W1-2021 ◽  
pp. 201-205
Author(s):  
S. M. Sokolov ◽  
N. D. Beklemishev ◽  
A. A. Boguslavsky
Keyword(s):  
Vision System ◽  
High Accuracy ◽  
Information Support ◽  
Navigation Systems ◽  
Ground Vehicles ◽  
Visual Data ◽  
Visual Channel ◽  
Navigation Problem ◽  
Forward Looking

Abstract. The paper considers two directions in the use of visual data for information support of purposeful movements of ground vehicles. This is optical odometry and navigation by landmarks in the environment. Optical odometry builds the trajectory of movement of the vehicle based on the determination of displacements based on selective visual data from different fields of view. The choice and indication of landmarks at the described stage of research remains with the operator. The vision system (VS) monitors the specified landmarks and determines the position of the vehicle relative to them. The experiments used such fields of view as monocular forward looking, panoramic (fisheye type) and forward looking stereo system. When combining the data of the visual channel with each other and with the data of other navigation systems, the specificity of visual sensors is taken into account – a significant effect of the reliability and accuracy of the results from the observation conditions. Experimental verification of the VS layout showed the achievability of high accuracy in solving the navigation problem using the visual channel. All the components of the described process of organizing purposeful movements based on the use of the visual channel continue to be improved.

Determination of Maize Seed Purity Based on Multi-Step Clustering

2018 ◽  
Vol 34 (4) ◽  
pp. 659-665
Author(s):  
Shuangxi Liu ◽  
Hongjian Zhang ◽  
Zhen Wang ◽  
Chunqing Zhang ◽  
Yan Li ◽  
...  
Keyword(s):  
Binocular Vision ◽  
Vision System ◽  
Recognition Rate ◽  
Model Parameters ◽  
Experimental Sample ◽  
Maize Seed ◽  
Maize Seeds ◽  
Clustering Model ◽  
Binocular Vision System

Abstract. Electrophoresis has been widely used to determine maize seed purity; however, the associated time and complexity hinder its application for maize seeds. Equipment to estimate seed purity was designed to improve the efficiency of identification of circulating maize seeds, and a multi-step clustering method was created for the determination of seed purity. The main components included a host computer, a black box, a seed transmission belt with grooves, a binocular vision system, and an under-controller. First, image information of the crown and the non-embryo side of every maize seed was collected using the binocular vision system while seeds underwent intermittent movement on the transmission belt. Second, multi-area color characteristics, which included red, green, and blue (RGB), hue, saturation, intensity (HSI), and lightness-a-b (Lab) color model parameters of maize seeds were extracted and optimized to generate 25-dimensional purity identification vectors. Finally, a multi-step clustering model was used to determine seed purity. The original center of K-mean clustering was established based on the results of self-organizing map (SOM) clustering; subsequently, maize seed purity parameters were obtained by combining the results of the second and the first clustering analyses. A result was achieved by testing three groups of samples, including 'ZHENGDAN 958' mixed with 'XIANYU 335', 'XIANYU 335' mixed with its male parent, and 'XIANYU 335' mixed with its female parent. The result showed that the correct recognition rate of 'XIANYU 335' mixed with 'ZHENGDAN 958' that had no genetic relationship could reach 100% under the condition of the experimental sample, and the accuracy of identification between 'XIANYU 335' and their respective male and female parents was 96.7% and 88.7%. This recognition rate met with the technical requirements of field inspection and provided a reliable scientific basis for the rapid determination of maize seed purity. Keywords: Identification, Maize seed, Multi-step clustering, Purity, Rapid.

Determination of the life of structural elements in fatigue fracture

1979 ◽  
Vol 11 (7) ◽  
pp. 683-687
Author(s):  
V. D. Kuliev ◽  
A. B. Kaplun
Keyword(s):  
Fatigue Fracture ◽  
Structural Elements
Sign in / Sign up

Export Citation Format

Share Document