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Optical PMD 3D sensor evaluation for motion detection and tracking application

  • Silesian University of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

There is a class of optical sensors for measuring distance, built on the principle of measuring the time of flight of a stream of photons reflected from the target. The primary use of such sensors is to determine the presence or absence of elements on automated production lines. In this paper the statistical properties and characteristics are investigated and identified of the depth image created by the commercial off-the-shelf ToF PMD (Photonic Mixer Device Time of Flight) 3D sensor. For this purpose, a special application that communicates with the sensor through the XML RPC protocol (eXtensible Markup Language Remote Procedure Call) was developed. Using, the identified sensor characterisics, the boundaries of the applicability of such a sensor in different applications may be determined. As an example, the use of the sensor for detecting and tracking the movement of small parts or animals is presented.

Original languageEnglish
Title of host publication2016 21st International Conference on Methods and Models in Automation and Robotics, MMAR 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages140-145
Number of pages6
ISBN (Electronic)9781509018666
DOIs
Publication statusPublished - 22 Sept 2016
Event21st International Conference on Methods and Models in Automation and Robotics, MMAR 2016 - Miedzyzdroje, Poland
Duration: 29 Aug 20161 Sept 2016

Publication series

Name2016 21st International Conference on Methods and Models in Automation and Robotics, MMAR 2016

Conference

Conference21st International Conference on Methods and Models in Automation and Robotics, MMAR 2016
Country/TerritoryPoland
CityMiedzyzdroje
Period29/08/161/09/16

Keywords

  • 3D optical sensor
  • Photonic Mixer Device
  • Time of Flight
  • motion detection
  • motion tracking

ASJC Scopus subject areas

  • Control and Optimization
  • Control and Systems Engineering
  • Artificial Intelligence

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