Why Utilities Need AI Pipeline Inspection Software?

Insights From Solinas

By Devi, Team Solinas

When a pipeline fails, the problem rarely starts on the surface.

It starts underground.

A small crack. A hidden blockage. A faulty joint. Root intrusion. Corrosion. A leakage point no one can see. By the time the issue becomes visible as low water pressure, sewer overflow, road sinking, flooding, contamination risk, or customer complaints, the damage has already begun.

For utilities, municipalities, industrial operators, and infrastructure companies across Europe, the US, and APAC this is a familiar challenge. The real question is no longer, “Can we inspect the pipeline?”

The real question is, “Can we turn inspection data into faster, better maintenance decisions?”

That is where Swasth AI – Our Pipeline Inspection Software comes in.

A utility worker remotely operates a robotic crawler to inspect an underground sewer pipeline through an open manhole. An AI-powered dashboard displays real-time CCTV footage, defect detection, analytics, and the inspection route for proactive pipeline maintenance.

Swasth AI is Solinas’ AI pipeline inspection software built to convert robotic inspection data, CCTV footage, defect observations, GIS mapping and field inputs into clear infrastructure intelligence. 

Why Traditional Pipeline Inspection Is Not Enough?

Most utilities already inspect pipelines in some form. You may use CCTV crawlers, manual surveys, field teams, contractor reports, or complaint-based inspection. These methods give visibility, but they often create a new problem – large volumes of data without a clear decision pathway. 

A CCTV video may show the defect. But someone still has to review it, classify it, understand its severity, mark the location, prepare the report, and decide what action comes next.  

Pipeline Leakage - On of the defect identified and mapped using Pipeline Inspection Software Deep Ferrule - One of the defect identified and mapped using Pipeline Inspection Software Blockage - One of the defect identified and mapped using Pipeline Inspection SoftwareTree Roots Intrusion - One of the defect identified and mapped using Pipeline Inspection Software

That process can take days. Sometimes weeks. 

And when the issue is urgent, like contamination risk in a water network or recurring sewer overflow, delay is expensive.

Swasth AI helps bridge this gap. It works as a pipeline condition assessment software that helps pipeline inspection teams move from “we have footage” to “we know what to do next.”

It supports:

  1. AI-assisted Pipeline defect detection
  2. Pipeline Defect tagging and severity grading
  3. GIS-based defect localization
  4. Pipeline Condition assessment reports
  5. Pipeline Asset management for utilities
  6. Digital records for future maintenance

    How Utilities Are Using Pipeline Inspection Softwares?

    1. 1. AI-driven Pipeline Condition Assessment (TN)


    Problem:
    In a municipal corporation, Tamilnadu, a major 24×7 drinking water supply programme was facing recurring contamination risks, leakages, blockages, faulty joints, deposits, and flow restrictions..

    Action:
    Solinas deployed 

    1. Pipeline inspection services across more than 60 locations. 
    2. Swasth AI – Our Pipeline Inspection Software supported Pipeline condition assessment, severity grading, KPI tracking, WRC-aligned reporting 
    3. GIS-based defect localisation.

    Impact:
    1. The earlier diagnostic cycle of three to five days was reduced. 

    1. 300 contamination points and over 200 blockages were identified. 
    2. Reduced unnecessary excavation. 
    3. Enabling the utility to move towards data-backed pipeline maintenance.


      4. AI-Driven Pipeline Defect Detection (Maharashtra)

    Problem:
    In a municipal corporation, Maharashtra, Solinas supported the assessment of ageing water pipelines, many of which had been operational for 10 to 30 years. 

    Action:

    Solinas deployed,

    1. EndoCam, Endo90, and Endo250 across pipelines ranging from 75 mm to 400 mm in diameter. 

    2. Swasth AI generated condition assessment reports, actionable KPIs and pipeline management insights. 

    3. GIS integration enabled underground network mapping and geo-tagged defect localisation.

    Impact:

    1. The project digitised more than 45 kilometres of pipeline.

    2. Identified over 90 contamination points, 120 leakage points, and 55 blockages.



    Pipeline Inspection Beyond Robotics  

    Pipeline inspection should not end with a video file.

    It should lead to a decision.

    1. Should this pipeline be cleaned? Repaired? Rehabilitated? Monitored? Replaced?
    2. Which defect is critical? 
    3. Which location should be prioritized first? 
    4. Which assets are creating repeated O&M issues?

    Swasth AI helps answer these questions.

    By combining water pipeline inspection software, sewer CCTV analysis, GIS mapping and pipeline asset management for utilities, Swasth AI helps cities and infrastructure operators shift from reactive maintenance to data-backed planning.

    For utilities across the world message is clear:

    You do not just need to see underground.

    You need to understand it. And that is exactly what Swasth AI is built for.

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