Publication detail

Self Acting Production of Tip For Atomic Force Microscopy

HYNČICA, T. JUHAS, M.

Original Title

Self Acting Production of Tip For Atomic Force Microscopy

Czech Title

Automatická produkce hrotů pro mikroskopy atomárních sil

English Title

Self Acting Production of Tip For Atomic Force Microscopy

Type

conference paper

Language

en

Original Abstract

This article describes the problem of the automatic production of a tuning fork with a tip for atomic force microscopy (AFM). It contains hardware and software (image processing) description of a self acting machine developed to solve the problem. The image processing main goal is to measure distances between individual parts during the fabrication process. A camera with high resolution and macro objective is used to acquire images during the assembly process. For getting better results, we perform correction of the used camera distortion and its calibration. Together with proposed image processing methods we use the camera as an accurate distance sensor. So obtained data we then used to control the process. We implemented proposed image processing methods in C++ using Intel OpenCV library. The machine is able to produce the tuning fork with the tip with constant parameters, which is important for future work with the microscope.

Czech abstract

Tento článek popisuje problém automatické výroby ladičky s hrotem pro mikroskopy atomárních sil (AFM). Obsahuje popis hardwaru, popis vlastního stroje vyvinutého pro vyřešení problému a softwaru (zpracování obrazu). Hlavním cílem zpracování obrazu je měřit vzdálenosti mezi jednotlivými částmi během výrobního procesu. Kamera s vysokým rozlišením a makro objektivem je využíta k získání snímků během montážního procesu. Pro získání lepších výsledků, provádíme korekce zkreslení použité kamery z její kalibraci. Zavedli jsme navržené metody zpracování obrazu v C + + s použitím Intel OpenCV knihovny. Stroj je schopen vyrobit ladičku s hrotem s konstantními parametry, což je důležité pro další práci s mikroskopem.

English abstract

This article describes the problem of the automatic production of a tuning fork with a tip for atomic force microscopy (AFM). It contains hardware and software (image processing) description of a self acting machine developed to solve the problem. The image processing main goal is to measure distances between individual parts during the fabrication process. A camera with high resolution and macro objective is used to acquire images during the assembly process. For getting better results, we perform correction of the used camera distortion and its calibration. Together with proposed image processing methods we use the camera as an accurate distance sensor. So obtained data we then used to control the process. We implemented proposed image processing methods in C++ using Intel OpenCV library. The machine is able to produce the tuning fork with the tip with constant parameters, which is important for future work with the microscope.

Keywords

image procesing;camera calibration; image distance measurement; camera distortion correction; industrial object recognition; illumination of a scene; stepper motors; I/O Arduino board; servomotors; object oriented software design; AFM tip

RIV year

2011

Released

15.09.2011

Publisher

IEEE Operations Center

ISBN

978-1-4577-1424-5

Book

The 6th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS'2011)

Edition number

1

Pages from

417

Pages to

420

Pages count

4

BibTex


@inproceedings{BUT74528,
  author="Tomáš {Hynčica} and Miroslav {Juhas}",
  title="Self Acting Production of Tip For Atomic Force Microscopy",
  annote="This  article  describes  the  problem  of  the automatic production of a tuning fork with a tip for atomic force microscopy (AFM). It contains hardware and software (image  processing)  description  of  a  self  acting  machine 
developed to solve the problem. The image processing main goal is to measure distances between individual parts during the fabrication process. A camera with high resolution and macro  objective  is  used  to  acquire  images  during  the assembly  process.  For  getting  better  results,  we  perform correction of the used camera distortion and its calibration. Together  with  proposed  image  processing  methods  we  use 
the camera as an accurate distance sensor. So obtained data we  then  used  to  control  the  process.  We  implemented proposed  image  processing  methods  in  C++  using  Intel OpenCV library. The machine is able to produce the tuning fork   with   the   tip   with   constant   parameters,   which   is important for future work with the microscope.",
  address="IEEE Operations Center",
  booktitle="The 6th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS'2011)",
  chapter="74528",
  doi="10.1109/IDAACS.2011.6072787",
  howpublished="electronic, physical medium",
  institution="IEEE Operations Center",
  year="2011",
  month="september",
  pages="417--420",
  publisher="IEEE Operations Center",
  type="conference paper"
}