The development of a XEOL and TR XEOL detection system for the I18 microfocus beamline Diamond light source

2013 ◽  
Vol 134 ◽  
pp. 49-58 ◽  
Author(s):  
R.P. Taylor ◽  
A.A. Finch ◽  
J.F.W. Mosselmans ◽  
P.D. Quinn
Keyword(s):  
Light Source ◽  
Detection System

The development of TDLAS CO2 gas detection system with VCSEL light source

2021 ◽  
Author(s):  
Tongxin Dai ◽  
Biao Wang ◽  
Yongbo Yu ◽  
Linxiang Chen ◽  
Shuo Huang ◽  
...  
Keyword(s):  
Light Source ◽  
Detection System ◽  
Gas Detection ◽  
Co2 Gas

Exploration on Applying Non-Contact Photoelectric Detection Method for Double-Enveloping Hourglass Worm

2010 ◽  
Vol 97-101 ◽  
pp. 4287-4292
Author(s):  
Shu Yuan Zhang ◽  
Xiao Jing Chen ◽  
Song Kun Yu ◽  
Ting Chen Chen
Keyword(s):  
Light Source ◽  
Detection Method ◽  
Detection System ◽  
Image Sensor ◽  
Tooth Surface ◽  
Rotary Table ◽  
Ccd Imaging ◽  
Photoelectric Detection ◽  
Manufacturing Accuracy ◽  
Work Table

According to the principle of processing, a non-contact photoelectric detection method for double-enveloping hourglass worm is investigated. The structure of the detection system is designed. It consists of solid-state image sensor CCD and light source. The parallel light source is installed on a sliding-board which is fixed on the rotary table. There is an inclination angular β between the parallel light source and the plane of the work table. The industrial CCD lens is mounted on the other side of the worm through a frame. The plane of the CCD is vertical to the parallel light source. Therefore CCD imaging is along with the direction of the generating process surface. By comparing the measured spiral tooth surface with the standard spiral tooth surface, the manufacturing error of worm can be calculated. Manufacturing accuracy of the worm can be obtained. Based on the four-axis CNC grinder, Non-contact photoelectric detection method is studied through preliminary experimental study. The experimental results indicate that this method is feasible in the precise detection of the double-enveloping hourglass worm.

scholarly journals Colorimeter Portable to Determine Ammonium Using to Manure Tetector

2021 ◽  
Vol 4 (2) ◽  
Author(s):  
Yohan Yohan ◽  
Fifit Astuti ◽  
Adimas Wicaksana
Keyword(s):  
Light Source ◽  
Calibration Curve ◽  
Detection System ◽  
Light Sources ◽  
Agricultural Application ◽  
Modular Data ◽  
Arduino Uno

Contruction of colorimeter and calibrationare presented in this paper. In this investigation involves design, detection system, and measurement.Colorimeter was fabricated in dimension (10 x 10 x 6)cm3 consist of light source, modular data, and transducer. The light sources were LEDs which responds of  wavelength peak at 467 nm on 0,141 W/m2. Arduino Uno R3 is used to data tabulation in calculate absorbance system with 1.8.5 sofware. Then transducer was used a LDR which useful for consider the light in sample and reference. The calibration curve of ammonium consentration shows  linierity range at 0.1 to 2 ppm with y = 0.0234x + 0.0905, R= 0.9716. The portable colorimeter was found accuration and precision about 88,7 % and 99,8%. the portabel colorimeter gives the best result in this investigation and use to fake manure detector in Agricultural application for domestic farmer.

scholarly journals Wavelet Analysis-Based Texture Analysis of Ceramic Surface Images

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Yanbing Liu ◽  
Bei Zhou ◽  
Xinghua Yang
Keyword(s):  
Fractal Dimension ◽  
Wavelet Analysis ◽  
Light Source ◽  
Detection System ◽  
Fractal Theory ◽  
Three Dimensional ◽  
Surface Profile ◽  
Ceramic Surface ◽  
Fractal Method ◽  
Main Research

This paper is conducted to explore a new characterization method as a supplement to the traditional roughness characterization. The main research includes the extraction and evaluation of damage features of ceramic surface morphology by applying wavelet methods, the extraction of damage features in surface contours by using wavelet analysis, and the quantitative evaluation of damage degree by using damage rate and damage mean spacing. By comparing various fractal dimension calculation methods, a fractal dimension method suitable for calculating the ceramic surface was selected, and the fractal method was used to describe the ceramic surface topography as a whole. By comparing different methods of calculating the fractal dimension and further verifying them with the measured three-dimensional morphology, it is found that the vibrational method is more suitable for calculating the fractal dimension of ceramic surface, and its calculation accuracy is investigated, and the results show that the method is a reliable one. Based on the fractal theory, a mathematical model of surface wear and surface sealing was established. Further study of the model shows that the surface with a large fractal dimension has a good sealing effect; the surface corresponding to the best fractal dimension is the most resistant to wear. The fractal method can characterize the complexity of the surface profile as a whole. The wavelet method can describe the ceramic surface profile from a local perspective, and the combination of the two methods can characterize the ceramic surface well. Finally, the experimental device of the ceramic surface defect detection system is constructed, and the joint debugging of hardware and software is completed. Under different light source intensities, ceramic image samples are collected, and the accuracy detection experiments of sample defective edges are conducted, and the results show that the light source has a small impact on the accuracy of ceramic defective edge detection. The results show that the light source has more influence on the accuracy of scratch detection. The results show that the system constructed in this thesis has good applicability for different ceramic sample detection.

Selection of Light Source for On-Line Nep Detection System

2008 ◽  
Vol 35 (5) ◽  
pp. 788-791
Author(s):  
俞晓磊 Yu Xiaolei ◽  
赵志敏 Zhao Zhimin ◽  
汪东华 Wang Donghua
Keyword(s):  
Light Source ◽  
Detection System ◽  
On Line ◽  
Selection Of

Design of Multi-Point Real-Time Lithography Light Source Uniformity Detection System

2018 ◽  
Vol 55 (6) ◽  
pp. 061203
Author(s):  
赵可为 Zhao Kewei ◽  
谭艾英 Tan Aiying ◽  
尹韶云 Yin Shaoyun ◽  
蔡文涛 Cai Wentao ◽  
杨若夫 Yang Ruofu ◽  
...  
Keyword(s):  
Real Time ◽  
Light Source ◽  
Detection System

scholarly journals Micro pin header defect detection system based on OpenCV

2021 ◽  
Vol 2137 (1) ◽  
pp. 012037
Author(s):  
Houcheng Yang ◽  
Yinxin Yan ◽  
Zhangsi Yu ◽  
Zhang Ning
Keyword(s):  
Image Processing ◽  
Success Rate ◽  
Real Time ◽  
Light Source ◽  
Defect Detection ◽  
Detection Efficiency ◽  
Detection System ◽  
Experimental Tests ◽  
Quality Inspection ◽  
Detection Error

Abstract In order to solve the problems of low detection efficiency and large detection error in the process of manual quality inspection, a full-automatic defect detection system is built. The system uses an industrial camera, selects a suitable light source for image acquisition, uses the open source OpenCV visual library for image processing and defect contour recognition, and sets the screening conditions for unqualified products. The system can detect whether the needle arrangement has defects in real time and classify them according to different defect categories, It can greatly improve the detection efficiency of needle arranging production enterprises. Through a large number of experimental tests, the detection success rate can reach 98.67%, which shows that the system is feasible.

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