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Volume 11, Issue 1 (January 2025)

Automated Pipeline Integrity Assessment And Defect Detection Using Deep Learning

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7.883
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Volume 12 Issue 07

July 2026

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Author(s)

Suvitha S Kathiravan C Sadhees Kumar D Yogesh M

Abstract

The Drainage Pipeline Network Constitutes A Critical Component Of Municipal Infrastructure. Effective Inspection Of Drainage Pipelines Is Crucial For Maintaining Urban Functions. However, Manual Inspection Methods Are Inefficient And Prone To Error. To Ad


Keywords

Pipeline YOLO-DS Defect Detection Defect Tracking System.

Paper ID

IJSARTV11I1102620

Publication Date

January 9, 2025

Research Area

Artificial Intelligence And Data Science

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