AI-Detected Road Defects from Moreton Bay Waste Trucks

Moreton Bay Regional Council uses dashcam-equipped waste trucks and AI to automate road defect identification. The dataset, last updated in March 2026, originates from the City of Moreton Bay's Data Hub.

Use Cases

• Train computer vision models to detect road defects from dashcam imagery collected by waste trucks.
• Analyze spatial patterns of AI-identified infrastructure issues across the Moreton Bay region.
• Correlate defect detection data with maintenance logs to assess repair response times.

Strengths

• Data is sourced directly from a municipal government initiative (Moreton Bay Regional Council).
• Utilizes modern AI technology for automated defect detection.
• Dataset was updated in March 2026, indicating recent activity.

Limitations

• Specific data schema, column names, and sample size (rows) are unknown.
• Data is accessible via an ArcGIS GeoService, requiring GIS-specific tools for analysis.
• The description lacks concrete metrics on defect types, detection accuracy, or geographic coverage density.

Provenance

Source

City of Moreton Bay's Data Hub (moretonbaygis).

Collection Method

Collected via dashcams fitted on waste trucks, with AI processing for defect identification.

Time Range

null

Freshness

Last updated 2026-03-23.

Geography

Moreton Bay region, Queensland, Australia.