scholarly journals A Real-Time Automated System for Dual-Aperture Common-Path Interferometer Phase-Shifting

2021 ◽  
Vol 11 (16) ◽  
pp. 7438
Author(s):  
Antonio Barcelata-Pinzón ◽  
Ricardo Iván Álvarez-Tamayo ◽  
Patricia Prieto-Cortés

We report a novel fully real-time automatized optomechatronic dual-aperture common-path interferometer system for obtaining the phase difference between two interferograms by using the technique of phase-shifting interferometry. A motorized system is used to shift an additional phase transversally to the optical axis by ruling translation. For each high-resolution ruling displacement step of 0.793 μm, an interferogram is recorded by a CCD camera. The phase difference between the two successive recorded interferograms is then automatically calculated by computational self-calibrated algorithms. The proposed device provides more accurate measuring than typically used manual processes. Real-time phase differences are obtained from a robust low-cost optomechatronic system. Analytical calculation of the phase is performed automatically without the requirement of additional or external tools and processes, reducing the significant rework delay. A set of 47 interferograms were captured in real time then recorded and analyzed, obtaining an average phase shifting of 2.483 rad. Analytic explanation and experimental results are presented.

2013 ◽  
Vol 718-720 ◽  
pp. 567-570
Author(s):  
Rong Gang Zhu ◽  
Ri Hong Zhu ◽  
Jian Xin Li ◽  
Qian Song

This paper describes the principles and methods of specular surface measurement which is based on fringe reflection technique (PMD). This technique is based on incoherent imaging and phase shfit. CCD camera was used to record images of sinusoid fringes pattern which is generated by computer monitor and reflected respectively by reflector tested. The phase of modulated fringes that test the mirror collected by CCD can be obtained through the phase shifting algorithm, and the phase of the reference mirror can be calculated according to the structure, so the altitude difference between the two surface shape mentioned above can be obtained by the phase difference between them. The experiment fit the tested surface by 36 zernike polynomial and substitute the gradient data into equations to obtain the measured surface shaped by the least squares solution.


1985 ◽  
Vol 112 ◽  
pp. 421-424
Author(s):  
Dan Werthimer ◽  
Jill Tarter ◽  
Stuart Bowyer

Serendip II is an automated system designed to perform a real time search for narrow band radio signals in the spectra of sources in a regularly scheduled, non-Seti, astronomical observing program. Because we expect Serendip II to run continuously without requiring dedicated observing time, we hope to survey a large portion of the sky at high sensitivity and low cost. Serendip II will compute the power spectrum using a 65,536 channel fast Fourier transform processor with a real time bandwidth of 128 KHz and 2 Hz per channel resolution. After searching for peaks in a 100 KHz portion of the radio telescope's IF band, Serendip II will move to the next 100 KHz portion using a programmable frequency synthesizer; when the whole IF band has been scanned, the process will start again. Unidentified peaks in the power spectra are candidates for further study and their celestial coordinates will be recorded along with the time and power, IF and RF frequency, and bandwidth of the peak.


Author(s):  
Gabriel de Almeida Souza ◽  
Larissa Barbosa ◽  
Glênio Ramalho ◽  
Alexandre Zuquete Guarato

2007 ◽  
Author(s):  
R. E. Crosbie ◽  
J. J. Zenor ◽  
R. Bednar ◽  
D. Word ◽  
N. G. Hingorani

2019 ◽  
Vol 2019 ◽  
pp. 1-14 ◽  
Author(s):  
Yong He ◽  
Hong Zeng ◽  
Yangyang Fan ◽  
Shuaisheng Ji ◽  
Jianjian Wu

In this paper, we proposed an approach to detect oilseed rape pests based on deep learning, which improves the mean average precision (mAP) to 77.14%; the result increased by 9.7% with the original model. We adopt this model to mobile platform to let every farmer able to use this program, which will diagnose pests in real time and provide suggestions on pest controlling. We designed an oilseed rape pest imaging database with 12 typical oilseed rape pests and compared the performance of five models, SSD w/Inception is chosen as the optimal model. Moreover, for the purpose of the high mAP, we have used data augmentation (DA) and added a dropout layer. The experiments are performed on the Android application we developed, and the result shows that our approach surpasses the original model obviously and is helpful for integrated pest management. This application has improved environmental adaptability, response speed, and accuracy by contrast with the past works and has the advantage of low cost and simple operation, which are suitable for the pest monitoring mission of drones and Internet of Things (IoT).


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