The challenge
Cities in the region are expanding quickly, and the condition of streets, buildings and roadside assets changes faster than periodic manual surveys can capture. Municipal and infrastructure teams typically hold building inventories, road-condition records and maintenance tickets in separate systems. Field observations are often recorded on paper or in unstructured notes, and photographs are rarely linked to a consistent location reference.
That fragmentation has a practical cost. Comparing one district with another becomes difficult, prioritisation depends heavily on individual judgement, and planning teams lack a repeatable evidence base for long-term improvement programmes.
How the platform works
Street-level capture and geo-referencing
Street-level imagery and video are analysed and linked to location context, so each observation carries a geographic reference rather than standing alone as an image. That link allows teams to search by area, group findings by asset or street segment, and compare conditions across districts.
Detection and segmentation
Configurable detection and segmentation workflows identify the elements and conditions the programme is set up to find. Because the workflows are configurable, detection classes and thresholds can be aligned with local asset taxonomies and inspection standards rather than fixed at delivery.
Review, prioritisation and reporting
Detected observations are presented for human review through operational dashboards. Reviewers can filter by location, condition class or asset, confirm or dismiss findings, and export inspection evidence for maintenance planning, reporting and coordination between field and office teams.
Core capabilities
- Street-level image and video analysis with geo-referenced observations
- Building-type identification and classification
- Road-surface, visual-distortion and street-condition detection
- Urban asset review and structured reporting
- Location-linked incident or maintenance prioritisation
- Operational dashboards and exportable inspection evidence
Platform modules
Building Type Identification
Classifies the type or use of visible buildings to support city inventories and planning-oriented geographic analysis. The classification output is built to feed inventory and analysis workflows rather than replace statutory records.
Street Visual-Distortion & Road-Condition Detection
Identifies visible street anomalies, road defects or visual disruptions in imagery for review and maintenance prioritisation. Findings are surfaced as reviewable observations with location context attached, so teams can act on them.
How it works
- Capture: street-level imagery or video is collected along a route or area of interest.
- Process: detection and segmentation workflows analyse the material and produce candidate observations.
- Geo-reference: each observation is linked to its location context.
- Review: analysts confirm, classify or dismiss findings in the operational dashboard.
- Prioritise: confirmed observations are ranked by location, condition class or asset to support maintenance planning.
- Report: inspection evidence is exported for reporting, coordination and follow-up.
Business value
Georeferenced findings and structured review help infrastructure teams build a clearer record of street conditions, inspect assets and coordinate maintenance activities.