Automatic Detection of Avionics Electrical Connector Pins

  • Xiaolin Zhang*
  • , Hanqing Wu
  • , Yanxiang Wu
  • , Lei Cao
  • *Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

Abstract

Avionics electronic connectors have a wide use and play a significant role in instrumentation and aerospace system. To substitute manual detection, we propose an automatic in-station connector pin detection system based on computer vision, machine vision, deep learning, and industrial robots. This system provides a high-reliable, high-accuracy, traceable, quantifiable, and real-time detection for connector pins.

Original languageEnglish
Article number012048
JournalJournal of Physics: Conference Series
Volume2218
Issue number1
DOIs
StatePublished - 29 Mar 2022
Externally publishedYes
Event2021 3rd International Conference on Computer, Communications and Mechatronics Engineering, CCME 2021 - Virtual, Online
Duration: 17 Dec 202118 Dec 2021

Keywords

  • CNN
  • Character recognition
  • Pin detection
  • Template matching

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