Apollo Sewer

    Autonomous live-flow sewer inspection, defect detection, and condition monitoring

    Cross-section illustration of an autonomous sewer inspection robot operating in live flow

    The Gap

    Sewer networks face aging infrastructure, limited access, and incomplete visibility. Many areas are inaccessible or have not been inspected for years, while CCTV data is often inconsistent, unstructured, or unsuitable for AI-based analysis. Limited historical records and single sensing sources also make it difficult to track deterioration, detect defects, and understand network risks.

    Apollo Sewer supports the full inspection workflow, from autonomous data capture to digital asset reporting. It accesses hard-to-inspect locations, collects structured inspection data, and builds reliable datasets for digitalization and digital twin development. With minimal service disruption and multiple sensors, Apollo Sewer improves defect detection, historical tracking, and maintenance planning.

    AI-Powered Sewer Intelligence

    Autonomous amphibious inspection with LiDAR and AI for precise monitoring in no-signal environments

    Maintenance Planning Support

    Tracks infrastructure changes over time to identify areas requiring maintenance attention before failures occur

    Precise Defect Detection

    Combines computer vision, object detection, and LLMs for deeper, layered analysis of sewer pipe conditions

    Multi-Sensor Data Integration

    Integrates LiDAR, cameras, thermal imaging, and geophone inputs for comprehensive sewer condition assessment

    Autonomous Data Collection

    Continuous inspection using amphibious robots equipped with LiDAR, optical, and infrared sensors

    Centralized Digital Reporting

    Creates structured outputs for digital twin development, asset monitoring, and scenario analysis

    Reduced Operational Downtime

    Uses efficient inspection workflows to decrease traffic blockage, reduce downtime and limit impact on operations

    Sewer tunnel interior showing cracks detected by autonomous inspection

    Built for Autonomous Sewer Intelligence

    Review network conditions, structural anomalies, and inspection history in one geospatial workspace for faster maintenance prioritization.

    Sewer monitoring dashboard showing pipeline routes and structural anomaly detection

    How it works

    How Apollo Sewer Works

    1. 1

      Deploy amphibious robotic system to navigate sewer pipelines under live flow conditions.

    2. 2

      Capture multi-sensor data using LiDAR, optical, and infrared sensors for full internal assessment.

    3. 3

      Process and analyze data through AI to detect defects such as cracks, blockages, and corrosion.

    4. 4

      Visualize insights on the dashboard with geo-referenced outputs to support maintenance decisions.

    Autonomous robot inspecting a live-flow sewer

    Autonomously inspect live-flow sewers for defects

    Apollo AI processing

    Our AI converts raw data into predictive trends and insights

    Apollo Sewer dashboard

    Visualize data insights and plan maintenance work

    Cloud API integration

    Seamless API export to CMMS and GIS systems

    Types of Defects We Inspect & Monitor

    Sewer pipe diagram showing common defect locations including cracks, blockages, corrosion, infiltration, and fractures

    Cracks

    Blockages

    Corrosion

    Infiltration

    Fractures

    …and more

    Designed for high-flow, submerged, and confined sewer environments

    Reduces reliance on manual inspections in hazardous confined spaces

    Low-maintenance system for scalable, network-wide monitoring

    Ready to improve sewer inspection coverage and condition visibility?

    Talk to the ApoSys team about deploying Apollo Sewer for autonomous live-flow inspection, AI-assisted defect detection, and maintenance-ready reporting.