Automated Pipeline Integrity Assessment And Defect Detection Using Deep Learning

• Author(s):

  Suvitha S | Kathiravan C | Sadhees Kumar D | Yogesh M

• Keywords:

  Pipeline, YOLO-DS, Defect Detection, Defect Tracking, System.

• 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

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Other Details

• Paper id:

  IJSARTV11I1102620

• Published in:

  Volume: 11 Issue: 1 January 2025

• Publication Date:

  2025-01-09

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