BNC position estimation for an automated testing facility in the production of oscilloscope

Zhen Guan Tan, Abdul Malik H.Y. Saad*, Antar Shaddad H. Abdul-Qawy, Adnan Haider Yusef Sa'd, Nayef A.M. Alduais, Abdullah B. Nasser, Waheed Ali H.M. Ghanem, Bander Ali Saleh Al-Rimy

*Corresponding author for this work

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

Abstract

Oscilloscopes may contain manufacturing defects in their BNC ports and need to be checked and tested one-by-one before packaging them. The testing process is still done manually by plugging a BNC connector into the BNC ports. Therefore, this work aims to develop an automatic inspection system that can be installed in the testing area in the plant of oscilloscope production. To do so, it needs to find the accurate position of each BNC and its distance from the installed camera on the tester robot arm. This information can be given to the robot arm to do the correct movement. A prototype system is developed based on Hough Circle Detection algorithm to identify the BNC ports. The experimental results show that the developed method is able to determine the distance from the center of the BNC port to the center of the camera, and the according angle between them.

Original languageEnglish
Title of host publicationInternational Conference of Modern Trends in ICT Industry
Subtitle of host publicationTowards the Excellence in the ICT Industries, MTICTI 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Electronic)9781665414449
ISBN (Print)9781665414456
DOIs
Publication statusPublished - 4 Jan 2022
Event2021 International Conference of Modern Trends in Information and Communication Technology Industry, MTICTI 2021 - Sana'a, Yemen
Duration: 4 Dec 20216 Dec 2021

Conference

Conference2021 International Conference of Modern Trends in Information and Communication Technology Industry, MTICTI 2021
Country/TerritoryYemen
CitySana'a
Period4/12/216/12/21

Keywords

  • Hough Circle Detection
  • Object Detection
  • Position Estimation

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