Low-Cost Automated Visual Screw Inspection System

Yiran Li, Jiayi Li, Xiaoying Yang, Cheng'ao Li, Xihan Xiong, Yutong Fang, Shusheng Ding, Tianxiang Cui

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


Despite the significant achievements in the development of automation technologies, the application of autonomous robots to improve the production efficiency of small-scale indus-tries has been largely ignored. While there has been excellent progress in industrial image processing systems implementation, most of the work has focused on a unique aspect of specific objects rather than introducing a general inspection system. Thus, this paper discusses the critical industrial topic of quality control, which develops rapidly through the use of autonomous systems. Given the high cost of implementing automated systems, this paper presents an affordable low-budget solution for the visual inspection system. This method of inspecting screw dimensions consists of four visual inspection parts and a special mechanical supporting structure. The designed system was able to check the overall screw dimensions, including screw head diameter, screw head driven type, screw length, screw thread length, and screw head thickness. It could also separate the qualified screws from the unqualified ones after the inspection process. The accuracy of most inspection cases is 100%, meaning the error ranges within 0.1mm, which meets all the non-negotiable requirements and most of the target requirements. The visual inspection parts can be further enhanced by building a template matching library that includes different angles of the screw head or by using Hough Transform to identify the defect types of the screw thread.

Original languageEnglish
Title of host publication2023 IEEE Symposium Series on Computational Intelligence, SSCI 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Electronic)9781665430654
Publication statusPublished - 2023
Event2023 IEEE Symposium Series on Computational Intelligence, SSCI 2023 - Mexico City, Mexico
Duration: 5 Dec 20238 Dec 2023

Publication series

Name2023 IEEE Symposium Series on Computational Intelligence, SSCI 2023


Conference2023 IEEE Symposium Series on Computational Intelligence, SSCI 2023
CityMexico City


  • Automated quality control
  • Computer-assisted visual inspection
  • Industrial computer vision
  • Low-cost

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Human-Computer Interaction
  • Decision Sciences (miscellaneous)
  • Safety, Risk, Reliability and Quality


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