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Real Time Precise Position Measurement Based on Low-Cost CMOS Image Sensor

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F11%3A00181170" target="_blank" >RIV/68407700:21230/11:00181170 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Real Time Precise Position Measurement Based on Low-Cost CMOS Image Sensor

  • Original language description

    Construction of an embedded position measurement sensor based on the real-time image processing and a low-cost CMOS image sensor is presented in this work. Position measurement task is simplified with the use of assisted videometry concept - the target object is equipped with an additional marker (active or passive). An effective implementation of algorithm for the marker position estimation for Digital Signal Processor Blackfin(R) is presented. Having realized a set of measurements in the real-world conditions it has been shown that achievable linearity of the position measurement in the short-range of +-7 pixels is about 1/52 of pixel with pixelsize dependent period of linearity error. Position measurement resolution is better than 1/200 of pixel.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JA - Electronics and optoelectronics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GD102%2F09%2FH082" target="_blank" >GD102/09/H082: Sensors and intelligent sensor systems</a><br>

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2011

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    2011 18th International Conference on Systems, Signals and Image Processing

  • ISBN

    978-9958-9966-1-0

  • ISSN

  • e-ISSN

  • Number of pages

    4

  • Pages from-to

    119-122

  • Publisher name

    University of Sarajevo

  • Place of publication

    Sarajevo

  • Event location

    Sarajevo

  • Event date

    Jun 16, 2011

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article