Revolutionizing Sewer Defect Detection with Advanced Vision AI

A Fortune 500 global infrastructure firm was facing a critical bottleneck in managing and interpreting sewer pipeline footage. The manual analysis of CCTV sewer data was time-consuming, error-prone, and inefficient, leading to delays in defect detection and costly maintenance cycles. To overcome this, they partnered with iLink to develop an advanced AI-powered video analysis system. 

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Industry

Civil Engineering

Company size

10 K+ Employees

Headquarters

Texas, United States ​

Client Overview

A leading global infrastructure consulting firm empowers cities and enterprises with smarter, more sustainable solutions. Operating across 150+ countries, the firm transforms complex engineering challenges into future-ready innovations through cutting-edge technology and deep domain expertise. 

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    Challenges

    • ● Relied on manual CCTV video analysis to detect sewer pipeline defects, requiring extensive human review.
    • ● Time-consuming process that delayed maintenance decisions and reduced operational efficiency.
    • ● Prone to human error, leading to inconsistent defect detection and classification.
    • ● Variability across projects affected the reliability of infrastructure assessments.

    Solution

    • ● Deployed AI-based image analysis to automate sewer defect detection and classification.
    • ● Integrated human-in-the-loop feedback for continuous model accuracy improvement.
    • ● Enabled defect tracking and annotation to support predictive maintenance.
    • ● Auto-generated rehab cost estimates based on defect severity insights.

    Business Outcome

    Improved Accuracy

    Achieved greater precision in identifying defects and minimized the risk of defect omission. 

    Faster Processing

    Significantly reduced the time to process and analyze sewer pipeline videos. 

    Proactive Maintenance

    Enabled timely detection of critical issues, reducing safety risks and future maintenance costs. 

    Cost Optimization

    Auto-generated rehabilitation cost assessments improved budget planning and decision-making. 

    Ready to explore how Vision AI can transform your infrastructure operations?

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      ADDRESS

      63739 street lorem ipsum City, Country

      PHONE

      +12 (0) 345 678 9

      EMAIL

      info@company.com

      PURCHASE