Study on machine vision for fast position tracking of multiple trays on an omnidirectional robotic device

A. Zambrano, K. Abe, T. Combelles, K. Tadakuma, R. Tadakuma

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper introduces the study on a machine vision system used to detect and track the center position of multiple trays moving on the omnidirectional robotic device for material transportation in industrial environments, even when they are subject to partial occlusion. The performance of the system was evaluated in terms of different degrees of occlusion over the trays and the response time of the software implementation.

Original languageEnglish
Title of host publicationProceedings of the 2020 IEEE/SICE International Symposium on System Integration, SII 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages349-354
Number of pages6
ISBN (Electronic)9781728166674
DOIs
Publication statusPublished - 2020 Jan
Event2020 IEEE/SICE International Symposium on System Integration, SII 2020 - Honolulu, United States
Duration: 2020 Jan 122020 Jan 15

Publication series

NameProceedings of the 2020 IEEE/SICE International Symposium on System Integration, SII 2020

Conference

Conference2020 IEEE/SICE International Symposium on System Integration, SII 2020
Country/TerritoryUnited States
CityHonolulu
Period20/1/1220/1/15

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Biomedical Engineering
  • Control and Systems Engineering
  • Safety, Risk, Reliability and Quality
  • Control and Optimization
  • Instrumentation

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