Computer Microvision for MEMS

1999 ◽  
Vol 605 ◽  
Author(s):  
Dennis M. Freeman
Keyword(s):  
Image Analysis ◽  
Data Analysis ◽  
User Interface ◽  
Graphical User Interface ◽  
3D Structure ◽  
Ccd Camera ◽  
Optical Microscope ◽  
Stroboscopic Illumination ◽  
Frame Grabber

AbstractWe have developed a versatile instrument for in situ measurement of motions of MEMS. Images of MEMS are magnified with an optical microscope and projected onto a CCD camera. Stroboscopic illumination is used to obtain stop-action images of the moving structures. Stopaction images from multiple focal planes provide information about 3D structure and 3D motion. Image analysis algorithms determine motions of all visible structures with nanometer accuracy.Hardware for the system includes the microscope, CCD camera and associated frame grabber, piezoelectric focusing element, and a modular stimulator that generates arbitrary periodic waveforms and synchronized stroboscopic illumination. These elements are controlled from a Pentium-based computer using a graphical user interface that guides the user through both data collection and data analysis. The system can measure motions at frequencies as high as 5 MHz with nanometer resolution, i.e., well below the wavelength of light.

scholarly journals Computer Microvision for MEMS

2000 ◽  
Vol 8 (5) ◽  
pp. 32-35 ◽  
Author(s):  
Dennis M. Freeman
Keyword(s):  
Inner Ear ◽  
3D Structure ◽  
Three Dimensional ◽  
Ccd Camera ◽  
Optical Microscope ◽  
Sensory Cells ◽  
Mems Devices ◽  
Microscopy Technique ◽  
Stroboscopic Illumination

Computer Microvision is a microscopy technique originally developed to study sound-induced motions of sensory cells in the inner ear - motions that are on the order of picometers-i.e., smaller than the radius of a hydrogen atom. Three-dimensional micrornovies of inner ear cells moving in response to sound were analyzed to quantify motions with nanometer precision. Recently we have adapted the technique for in situ measurement of motions of micro-electron mechanical (MEMS) devices.In Computer Microvision systems, images of MEMS are magnified with an optical microscope and projected onto a CCD camera. Stroboscopic illumination is used to obtain stopaction images of the moving structures. Stop-action images from multiple focal planes provide information about 3D structure and 3D motion. Image analysis algorithms determine motions of all visible structures with nanometer accuracy. The system can measure motions at frequencies as high as 5 MHz with nanometer resolution, i.e., well below the wavelength of light.

EosFit7-GUI: a new graphical user interface for equation of state calculations, analyses and teaching

2016 ◽  
Vol 49 (4) ◽  
pp. 1377-1382 ◽  
Author(s):  
Javier Gonzalez-Platas ◽  
Matteo Alvaro ◽  
Fabrizio Nestola ◽  
Ross Angel
Keyword(s):  
Thermal Expansion ◽  
Data Analysis ◽  
User Interface ◽  
Equation Of State ◽  
Least Squares ◽  
Graphical User Interface ◽  
Diffraction Data ◽  
Equations Of State ◽  
Least Squares Fitting ◽  
Parametric Data

EosFit7-GUIis a full graphical user interface designed to simplify the analysis of thermal expansion and equations of state (EoSs). The software allows users to easily perform least-squares fitting of EoS parameters to diffraction data collected as a function of varying pressure, temperature or both. It has been especially designed to allow rapid graphical evaluation of both parametric data and the EoS fitted to the data, making it useful both for data analysis and for teaching.

Image Analysis and Development of Graphical User Interface for Pole Vault Action

2018 ◽  
Vol 6 (2) ◽  
pp. 109-116
Author(s):  
Rajeev Kanth ◽  
◽  
Jukka-Pekka Skön ◽  
Kari Lehtomäki ◽  
Paavo Nevalainen ◽  
...  
Keyword(s):  
Image Analysis ◽  
User Interface ◽  
Graphical User Interface ◽  
Pole Vault

scholarly journals Development of a Software Package for Cattle Identification in Nigeria

2019 ◽  
Vol 23 (10) ◽  
pp. 1825-1828 ◽  
Author(s):  
R.W. Bello ◽  
S. Abubakar
Keyword(s):  
Data Analysis ◽  
User Interface ◽  
Graphical User Interface ◽  
Software Package ◽  
Smart Phone ◽  
Information Encoding ◽  
Software Application ◽  
Free Range ◽  
Encoding Method ◽  
Tools And Methods

Open grazing or free-range grazing is one of the methods employed by the Nigeria nomadic cattle herders to provide pasture for their cattle. This method of providing pasture for cattle comes with so many challenges among which are cow swapping, ownership disputes, rustling and cow intrusion to farmland. Some existing methods of guiding against these challenges are expensive, injurious, and unreliable to apply. The objective of this paper is to develop an enhanced and affordable software package for cow recognition and identification using a graphical user interface and information encoding method. Data analysis module with software application for the analysis of the generated code is proposed; the software application installed on a computer or smart-phone may be standalone or otherwise. Data about individual cow is digitally collected, coded and stored using necessary resources, tools, and methods. Moreover, by tagging individual cow with the generated code, and matching the code with the ones in the database using code reader, individual cow can be recognized and identified.Keywords: Open grazing; Free-range grazing; Nomadic herder; Cow identification; Pasture.

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