scholarly journals Large-Aperture Real-Time Compensated Collimating Wavefront Error Detection Method

2019 ◽  
Vol 9 (11) ◽  
pp. 2370
Author(s):  
Xueliang Zhu ◽  
Dasen Wang ◽  
Fengming Nie ◽  
Bingcai Liu ◽  
Hongjun Wang ◽  
...  
Keyword(s):  
Real Time ◽  
Error Detection ◽  
Detection Method ◽  
Three Dimensional ◽  
Surface Measurement ◽  
Dimensional Error ◽  
Detection Technology ◽  
Wavefront Error ◽  
Scanning Detection ◽  
Wavefront Detection

This paper proposes a real-time compensated pentaprism scanning wavefront detection method to achieve real-time compensation for scanning errors occurring during prism movement along a guide rail. The method is based on existing pentaprism scanning wavefront detection technology and it is realized by applying self-collimation-based three-dimensional error compensation. Using theoretical and data analyses of a detection experiment, the reliability of the optimized pentaprism scanning detection method is verified, thus effectively ensuring the reasonable estimation of the interferometry surface measurement uncertainty.

A Research on Real-Time Hand-Detection Technology Oriented to the Somatic Games

2013 ◽  
Vol 748 ◽  
pp. 999-1002 ◽  
Author(s):  
Ren Chen ◽  
Hui Li
Keyword(s):  
Real Time ◽  
Failure Rate ◽  
Skin Color ◽  
Detection Rate ◽  
Detection Method ◽  
Hand Detection ◽  
Key Technology ◽  
Video Frames ◽  
Detection Technology ◽  
Adaboost Classifier

Hand-detection is a key technology to the somatic games. In this paper, we present a real-time hand-detection method based on Adaboost and skin-color characteristic. By processing the video frames with Adaboost classifier, we abstract the target regions which may contain the hand gestures. Then a filter based on skin color is proposed to select the correct regions. The best detection rate reaches above 89% with an acceptable failure rate and misjudgment rate. Experimental results show that this method is a lightweight and rapid approach to implement real-time hand detection in somatic games.

An error detection method for real‐time EPID‐based treatment delivery quality assurance

2020 ◽  
Author(s):  
Victor Gabriel Leandro Alves ◽  
Mahmoud Ahmed ◽  
Eric Aliotta ◽  
Wookjin Choi ◽  
Jeffrey Vincent Siebers
Keyword(s):  
Quality Assurance ◽  
Real Time ◽  
Error Detection ◽  
Detection Method ◽  
Treatment Delivery

A Swiss cheese error detection method for real-time EPID-based quality assurance and error prevention

2017 ◽  
Vol 44 (4) ◽  
pp. 1212-1223 ◽  
Author(s):  
Michelle Passarge ◽  
Michael K. Fix ◽  
Peter Manser ◽  
Marco F. M. Stampanoni ◽  
Jeffrey V. Siebers
Keyword(s):  
Quality Assurance ◽  
Real Time ◽  
Error Detection ◽  
Detection Method ◽  
Swiss Cheese ◽  
Error Prevention

High-Precision Aspheric Surface Measurement Using Scanning Deflectometry: Three-Dimensional Error Analysis and Experiments

2017 ◽  
Vol 11 (5) ◽  
pp. 728-735
Author(s):  
Tingzhi Hu ◽  
Muzheng Xiao ◽  
Xicheng Wang ◽  
Chao Wang ◽  
Zhijing Zhang ◽  
...  
Keyword(s):  
Error Analysis ◽  
High Efficiency ◽  
Spherical Surface ◽  
Three Dimensional ◽  
Measurement Range ◽  
Surface Measurement ◽  
Curvature Radius ◽  
Dimensional Error ◽  
Aspheric Surfaces ◽  
Rotary Stage

Interferometers are widely used to measure large aspheric surfaces because of their high accuracy and high efficiency. However, they cannot be used for aspheric surfaces with large curvature and asphericity. In this paper, we propose a method for measuring aspheric surfaces using scanning deflectometry with an autocollimator. A rotary stage is used to enlarge the measurement range of the autocollimator, so that aspheric surfaces with large slope changes can be measured. Three-dimensional error analysis is performed. We use an autocollimator with a measurement range of 21500 μrad (4500 arcsec) to measure a spherical surface with a curvature radius of 400 mm to perform the experiment. Experimental results showed that the average root-mean-square error was approximately 100 nm.

Real-time three-dimensional surface measurement by color encoded light projection

2006 ◽  
Vol 89 (11) ◽  
pp. 111108 ◽  
Author(s):  
S. Y. Chen ◽  
Y. F. Li ◽  
Q. Guan ◽  
G. Xiao
Keyword(s):  
Real Time ◽  
Three Dimensional ◽  
Surface Measurement ◽  
Dimensional Surface

3D Electronic Products Surface Measurement System Based on Machine Vision

2013 ◽  
Vol 579-580 ◽  
pp. 630-636
Author(s):  
Yuan Feng Zhu ◽  
Li Zhang ◽  
Ke Tian Li
Keyword(s):  
Real Time ◽  
High Speed ◽  
Lower Cost ◽  
Three Dimensional ◽  
Surface Measurement ◽  
Object Surface ◽  
Electronic Products ◽  
Feature Information ◽  
Picture Signal ◽  
Pseudo Color

Adopting high-speed line scan industrial camera, through window function of the software to capture interested areas scanning by linear structured light, through image processing algorithms and splicing technique to extract 3D feature information of the detected object surface, combined with the camera calibration technology, calculated the three-dimensional coordinates of the detected object, and real-time displayed intuitive pseudo color map, monitored picture signal and weeded out unqualified products. Compared with similar systems at home and abroad, the system are real-time pseudo color graphics display, open system and lower cost.

Wavefront error detection method for Shack-Hartmann wavefront sensors (Conference Presentation)

2017 ◽  
Author(s):  
Franz Felberer ◽  
Xavier Levecq ◽  
Yasmina Dahmani ◽  
Barbara Lamory-Bardet ◽  
Pauline Treimany ◽  
...  
Keyword(s):  
Error Detection ◽  
Detection Method ◽  
Wavefront Sensors ◽  
Wavefront Error

scholarly journals Research on Real-Time Detection of Sprint Error Based on Visual Features and Internet of Things

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Hengming Chen ◽  
Junyong Li
Keyword(s):  
Internet Of Things ◽  
Real Time ◽  
Error Detection ◽  
Three Dimensional ◽  
Detection Methods ◽  
Visual Features ◽  
Detection Accuracy ◽  
Detection Time ◽  
Visual Characteristics ◽  
Internet Of Things Technology

The current sprint error detection methods do not consider the analysis of the visual characteristics of sprint error, which leads to low detection accuracy, long detection time, and poor detection stability. To overcome this defect, inspired by Internet of Things technology, a real-time sprint error detection method based on visual characteristics is proposed. Based on the basic principle of RFID action perception, the original phase data is preprocessed, the channel parameters are selected, and the tag layout is optimized to form the action-oriented feature. Based on the three-dimensional visual features, the three-dimensional coordinate points of the sports field are determined, and the movement features of the sprint are extracted and formally described. Based on the analysis of the visual characteristics of sprint errors, the block pheromones of single frame sprint motion edge contour are obtained for clustering, and the sprint errors’ feature information is obtained and filtered. Sift technology is used to obtain the boundary contour line and implement the corner characteristics. The Hessian matrix of contour wave domain edge detection is used to calculate the contour wave domain matrix of the image and draw the contour curve of the image of sprint error action to realize the detection of sprint error action. The experimental results show that the proposed method has good stability and can effectively improve the detection accuracy and shorten the detection time.

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