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Evaluating the Accuracy of an OpenCV-Based Length Measurement Algorithm: The Impact of Checkerboard Type and Capturing Conditions

체커보드 종류 및 촬영조건에 따른 OpenCV 기반 길이측정 알고리즘 정확도 분석

  • Kim, Hyeonmin (School of Civil, Environmental and Architectural Engineering, Korea University) ;
  • Kwon, Woobin (School of Civil, Environmental and Architectural Engineering, Korea University) ;
  • Kim, Harim (School of Civil, Environmental and Architectural Engineering, Korea University) ;
  • Kim, Hyungjun (School of Civil, Environmental and Architectural Engineering, Korea University) ;
  • Song, Seung Ho (School of Civil, Environmental and Architectural Engineering, Korea University) ;
  • Cho, Hunhee (School of Civil, Environmental and Architectural Engineering, Korea University)
  • Received : 2023.11.17
  • Accepted : 2023.12.04
  • Published : 2024.02.20

Abstract

The OpenCV-based length measurement algorithm is anticipated to be effective for length measurement inspection tasks, providing objective inspection outcomes. Nonetheless, there is a notable gap in research regarding the influence of various checkerboard types and capturing conditions on the algorithm's accuracy in real-world construction settings. Consequently, this study proposes a methodology employing an OpenCV-based length measurement algorithm and checkerboard for digital construction inspection tasks. The findings suggest that using a checkerboard with square sizes of A4 or larger, and 50mm or larger, is optimal for capturing distances and angles within 4m and 90°, respectively, when deploying the algorithm. These insights are anticipated to provide practical guidelines for professionals conducting digital-based length measurement inspections.

OpenCV 기반 길이측정 알고리즘은 길이측정 검측업무를 보조함과 동시에 객관적인 검측결과를 제시할 수 있을 것으로 판돤된다, 그러나, 건설현장 내에서 체커보드의 유형과 촬영조건이 해당 알고리즘의 정확도에 어떠한 영향을 미치는지에 대한 연구는 미흡한 실정이다. 이에 본 연구에서는 디지털 기술을 활용한 검측업무 수행에 적합한 체커보드와 촬영방법을 제시하고자 OpenCV 기반 길이측정 알고리즘 정확도 측정 실험을 수행하였다. 실험결과 OpenCV 기반 길이측정 알고리즘을 통한 검측업무 시 촬영거리 4m 이내, 촬영각도 90°의 조건 하, 체커보드 크기와 Square size를 각각 A4 이상, 50mm 이상으로 설정하는 것이 적절할 것으로 판단된다. 본 연구의 결과는 디지털 기술을 통한 길이측정 검측업무 수행 시 가이드라인으로 활용될 수 있을 것으로 사료된다.

Keywords

Acknowledgement

This research was supported by a grant(RS-2022-00143493, project number:1615012983) from Digital-Based Building Construction and Safety Supervision Technology Research Program funded by Ministry of Land, Infrastructure and Transport of Korean Government.

References

  1. Public notice on detailed standards for building supervision [Internet]. Sejong (Korea): Ministry of Land, Infrastructure and Transport; 2020 Dec 24. Available from: https://www.law.go.kr/%ED%96%89%EC%A0%95%EA%B7%9C%EC%B9%99/%EA%B1%B4%EC%B6%95%EA%B3%B5%EC%82%AC%EA%B0%90%EB%A6%AC%EC%84%B8%EB%B6%80%EA%B8%B0%EC%A4%80
  2. Enforcement rule of the construction technology promotion act [Internet]. Sejong (Korea): Ministry of Land, Infrastructure and Transport; 2023 Dec 31. Available from: https://www.law.go.kr/admRulLsInfoP.do?admRulId=50884&efYd=&admRulNm=%EA%B1%B4%EC%84%A4%EA%B3%B5%EC%82%AC%EC%82%AC%EC%97%85%EA%B4%80%EB%A6%AC%EB%B0%A9%EC%8B%9D%EA%B2%80%ED%86%A0%EA%B8%B0%EC%A4%80%EB%B0%8F%EC%97%85%EB%AC%B4%EC%88%98%ED%96%89%EC%A7%80%EC%B9%A8
  3. Kim GY. Press release on the collapse of apartment under construction by Hyundai Development Company [Internet]. Sejong (Korea): Ministry of Land, Infrastructure and Transport; 2022 Mar 14. Available from: https://www.korea.kr/news/policyBriefingView.do?newsId=156499293
  4. Kim GC. Press release on the collapse of apartment underground parking lot under construction [Internet]. Sejong (Korea): Ministry of Land, Infrastructure and Transport; 2023 Jul 5. Available from: https://www.korea.kr/briefing/policyBriefingView.do?newsId=156579078
  5. Mohamed M, Tran D. Effective strategies for allocating construction inspection resources in highway projects. Proceeding of In Construction Research Congress 2020. 2020 Mar 8-10; Reston, VA. Washington D.C (WA); American Society of Civil Engineers; 2020. p. 953-62.
  6. Jang CM. Press release on the supervision of construction sites with holes [Internet]. Seoul (Korea): The Minjoo Party of Korea; 2022 Sep 29. Available from: https://theminjoo.kr/main/sub/news/view.php?brd=17&post=1064948
  7. Yuan X, Smith A, Sarlo R, Lippitt CD, Moreu F. Automatic evaluation of rebar spacing using LiDAR data. Automation in Construction. 2021 Nov;131:103890. https://doi.org/10.1016/j.autcon.2021.103890
  8. Freimuth H, Konig M. Planning and executing construction inspections with unmanned aerial vehicles. Automation in Construction. 2018 Dec;96:540-53. https://doi.org/10.1016/j.autcon.2018.10.016
  9. Luo H, Lin L, Chen K, Antwi-Afari MF, Chen L. Digital technology for quality management in construction: A review and future research directions. Developments in the Built Environment. 2022 Dec;12:100087. https://doi.org/10.1016/j.dibe.2022.100087
  10. Cho HH. Smart construction supervising service by using digital technologies. Architecture. 2022 Oct;66(10):35-9
  11. Jo SH, Kim TY. Drone obstacle avoidance algorithm using camera-based reinforcement learning. Journal of the Korea Computer Graphics Society. 2021 Nov;27(5):63-71. https://doi.org/10.15701/kcgs.2021.27.5.63
  12. Bolourian N, Hammad A. LiDAR-equipped UAV path planning considering potential locations of defects for bridge inspection. Automation in Construction. 2020 Sep;117:103250. https://doi.org/10.1016/j.autcon.2020.103250
  13. Kim JO, Lee DW. Detecting boundaries and corner for calibration of multiple thermal camera. Proceeding of Conference on Information and Control Systems. 2020 Oct 22-24; Jeju, Korea. Seoul (Korea); the Korean Institute of Electrical Engineers; 2020. p. 297-8.
  14. Park CH, Lee DW. Calibrating a depth camera based on deep learning of a 2D planar surface. The Transactions of the Korean Society Automotive Engineers. 2019 Jul;27(7):521-7. https://doi.org/10.7467/KSAE.2019.27.7.521
  15. Choi JH, Choi SR. Camera calibration principles and technology trends. Journal of Institute of Control, Robotics and Systems. 2022 Jun;28(2):29-35.
  16. Sarker MM, Ali TA, Abdelfatah A, Yehia S, Elaksher A. A cost-effective method for crack detection and measurement on concrete surface. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. 2017 Nov;42:237-41. https://doi.org/10.5194/isprs-archives-XLII-2-W8-237-2017
  17. Yang X, Li H, Yu Y, Luo X, Huang T, Yang X. Automatic pixel-level crack detection and measurement using fully convolutional network. Computer-Aided Civil and Infrastructure Engineering. 2018 Aug;33(12):1090-109. https://doi.org/10.1111/mice.12412
  18. Carrasco M, Araya-Letelier G, Velazquez R, Visconti P. Image-based automated width measurement of surface cracking. Sensors. 2021 Nov;21(22):7534. https://doi.org/10.3390/s21227534
  19. Kwon SI, Seo HD, Kim EM. Comparison of stereo camera calibration according to checkerboard size. Proceeding of Conference on Korean Society for Geospatial Information Science. 2020 Jun 12; Online. Seoul (Korea); Korea Spatial Information Society; 2020. p. 226-7.
  20. Kim EM, Kwon SI. Comparison of the accuracy of stereo camera calibration according to the types of checkerboards. Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography. 2020 Dec;38(6):511-9. https://doi.org/10.7848/ksgpc.2020.38.6.511
  21. Ministry of Land, Infrastructure and Transport. Enforcement Rule Of Building Act [Internet]. Sejong (Korea): Ministry of Land, Infrastructure and Transport; 2023 Nov 1. Available from: https://www.law.go.kr/LSW//lsInfoP.do?lsId=006191&ancYnChk=0#0000