Damage estimation of sewer pipe using subtitles of CCTV inspection video

Kitae Park; Byeongcheol Kim; Taeheon Kim; Dongwoo Seo

doi:10.1117/12.2259960

5 April 2017 Damage estimation of sewer pipe using subtitles of CCTV inspection video

Kitae Park, Byeongcheol Kim, Taeheon Kim, Dongwoo Seo

Proceedings Volume 10170, Health Monitoring of Structural and Biological Systems 2017; 1017039 (2017) https://doi.org/10.1117/12.2259960
Event: SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, 2017, Portland, Oregon, United States

Abstract

Recent frequent occurrence of urban sinkhole serves as a momentum of the periodic inspection of sewer pipelines. Sewer inspection using a CCTV device needs a lot of time and efforts. Many of previous studies which reduce the laborious tasks are mainly interested in the developments of image processing S/W and exploring H/W. And there has been no attempt to find meaningful information from the existing CCTV images stored by the sewer maintenance manager. This study adopts a cross-correlation based image processing method and extracts sewer inspection device’s location data from CCTV images. As a result of the analysis of location-time relation, it show strong correlation between device stand time and the sewer damages. In case of using this method to investigate sewer inspection CCTV images, it will save the investigator’s efforts and improve sewer maintenance efficiency and reliability.

Citation Download Citation

Kitae Park, Byeongcheol Kim, Taeheon Kim, and Dongwoo Seo "Damage estimation of sewer pipe using subtitles of CCTV inspection video", Proc. SPIE 10170, Health Monitoring of Structural and Biological Systems 2017, 1017039 (5 April 2017); https://doi.org/10.1117/12.2259960

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