Automated real time peg and tool detection for the FLS trainer box

Arun Nemani, Ganesh Sankaranarayanan, Suvranu De

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


This study proposes a method that effectively tracks trocar tool and peg positions in real time to allow real time assessment of the peg transfer task of the Fundamentals of Laparoscopic Surgery (FLS). By utilizing custom code along with OpenCV libraries, tool and peg positions can be accurately tracked without altering the original setup conditions of the FLS trainer box. This is achieved via a series of image filtration sequences, thresholding functions, and Haar training methods.

Original languageEnglish (US)
Title of host publicationMedicine Meets Virtual Reality 19
Subtitle of host publicationNextMed, MMVR 2012
PublisherIOS Press
Number of pages3
ISBN (Print)9781614990215
StatePublished - 2012
Externally publishedYes
EventMedicine Meets Virtual Reality 19: NextMed, MMVR 2012 - Newport Beach, CA, United States
Duration: Feb 9 2012Feb 11 2012

Publication series

NameStudies in Health Technology and Informatics
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365


OtherMedicine Meets Virtual Reality 19: NextMed, MMVR 2012
Country/TerritoryUnited States
CityNewport Beach, CA


  • FLS trainer box
  • Haar training
  • Laparoscopic surgery
  • Machine vision
  • Object tracking

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management


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