The internal inspection of large pipeline infrastructures, such as sewers and waterworks, is a fundamental task for the prevention of possible failures. In particular, visual inspection is typically performed by human operators on the basis of video sequences either acquired on-line or recorded for further off-line analysis. In this work, we propose a vision-based software approach to assist the human operator by conveniently showing the acquired data and by automatically detecting and highlighting the pipeline sections where relevant anomalies could occur.

A Vision-Based System for internal pipeline inspection / Piciarelli, Claudio; Avola, Danilo; Pannone, Daniele; Luca Foresti, Gian. - In: IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS. - ISSN 1551-3203. - 15:6(2019), pp. 3289-3299. [10.1109/TII.2018.2873237]

A Vision-Based System for internal pipeline inspection

Danilo Avola;Daniele Pannone;
2019

Abstract

The internal inspection of large pipeline infrastructures, such as sewers and waterworks, is a fundamental task for the prevention of possible failures. In particular, visual inspection is typically performed by human operators on the basis of video sequences either acquired on-line or recorded for further off-line analysis. In this work, we propose a vision-based software approach to assist the human operator by conveniently showing the acquired data and by automatically detecting and highlighting the pipeline sections where relevant anomalies could occur.
2019
Cameras; Inspection; Optics; Pipelines; Sensors; Task analysis; Visualization; Control and Systems Engineering; Information Systems; Computer Science Applications1707 Computer Vision and Pattern Recognition; Electrical and Electronic Engineering
01 Pubblicazione su rivista::01a Articolo in rivista
A Vision-Based System for internal pipeline inspection / Piciarelli, Claudio; Avola, Danilo; Pannone, Daniele; Luca Foresti, Gian. - In: IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS. - ISSN 1551-3203. - 15:6(2019), pp. 3289-3299. [10.1109/TII.2018.2873237]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1172861
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