Apollo Sewer

AI-powered sewer inspection and monitoring, including blockages, defects, and water levels

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 tunnel conditions

Integrating Multiple Data Sources

Integrates LiDAR, cameras, thermal imaging, geophones inputs to support comprehensive tunnel assessment

Autonomous Data Collection

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

Centralized digital reporting platform

For digital twin enhancement to improve asset monitoring and scenario analysis

Minimize Down Time

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

Sewer monitoring dashboard showing pipeline routes and structural anomaly detection

How Apollo Sewer Works

Deploy amphibious robotic system to navigate sewer pipelines under live flow conditions.
Capture multi-sensor data using LiDAR, optical, and infrared sensors for full internal assessment.
Process and analyze data through AI to detect defects such as cracks, blockages, and corrosion.
Visualize insights on the dashboard with geo-referenced outputs to support maintenance decisions.