Apollo RoadSight

Mobile road condition monitoring and automated asset inspection

The Gap

Road asset inspection and maintenance are often labour-intensive, time-consuming, and reactive. City teams rely on manual audits, visual inspections, resident reports, and outdated imagery, limiting visibility into current road issues and maintenance priorities.

Apollo RoadSight is a road monitoring solution that automates inspection, asset tracking, and structured reporting for roadway infrastructure. Using updated field data and AI-assisted analysis, it helps municipalities monitor road assets more efficiently, optimize resources, and support proactive maintenance planning.

Road Intelligence & Asset Monitoring

Turn vehicle-mounted imagery and sensor data into pavement conditions, asset inventories, and geospatial maintenance insights.

Road Defect & Vegetation Monitoring

Detects and classifies cracks, potholes, surface degradation, and vegetation growth along roadway assets.

Traffic Sign Detection & Inventory

Automatically identifies, classifies, and maps traffic signs with condition and type attributes.

Pavement Marking Assessment

Evaluates lane markings, visibility, and wear for compliance and maintenance planning.

Geospatial Defect Mapping

Maps GPS-stamped assets and defects for seamless GIS integration, review, and tracking.

Automated Asset Identification

Extracts and catalogs road assets such as catch basins, hydrants, and street infrastructure.

Scalable Road Monitoring Workflow

Processes continuous video data across large networks for consistent, repeatable inspections.

Vehicle-mounted camera used for mobile road inspection

Vehicle-mounted road monitoring sensor layout with camera, GPS, and LiDAR sensors

Built for Network-Wide Road Visibility and Control

Review condition patterns and inspection coverage across the network to prioritize field verification, maintenance planning, and reporting.

Road condition monitoring dashboard map showing pavement defects and geospatial asset points across a network

How it works

How Apollo RoadSight Works

1
Capture road data continuously using vehicle-mounted cameras, GPS, and LiDAR-assisted sensing during live patrols
2
Process and analyze data in the cloud using AI to identify road conditions, assets, and infrastructure elements
3
Detect and classify defects across issues like cracks, potholes, pavement wear, signage condition, vegetation, and pavement markings
4
Generate structured outputs with GPS-stamped insights for maintenance planning, reporting, and GIS integration