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Public-asset inventory from imagery•Consultancies and concessionaires structuring feasibility studies

FELGOR Lumen

Builds public-asset inventories from aerial and Street View imagery — no field crew

The problem

A feasibility study for any public asset in a large city needs, before the decision, a reliable inventory of what exists — how many points, in what state, where they are. The official cadastre, when it exists, is incomplete. The traditional answer is field surveying: a crew on the streets, point by point, weeks of work. It costs more than the entire study, and nobody wants to pay it before knowing whether the project will actually move forward.

The solution

FELGOR Lumen eliminates the field survey. It pulls the city's existing cadastre (or builds one from imagery), complements it with Street View and aerial imagery point by point, classifies each asset by type and condition, and runs the financial model. What used to be street-crew work becomes a pipeline running in hours.

Capabilities

What the product does

  • Ingests existing official cadastre (when available) or builds one from imagery
  • Pulls Street View and aerial imagery for every point to validate type and condition
  • Classifies the asset by type, technology, apparent age and conservation state
  • Calculates modernization or implementation capex point by point
  • Runs the financial model — savings, payback, IRR (configurable per project type)
  • Produces an executive PDF report ready to feed the project's modeling
  • Interactive georeferenced map per point for presentations

Where it applies

It's not a vertical product

The engine is the same. What changes is the catalog trained for each context. Below are the sectors where we've already seen it make sense — but the use cases don't stop here.

  • Public lighting and PPP
  • Pavement and road network
  • Vertical and horizontal traffic signage
  • Urban drainage and stormwater inlets
  • Urban furniture (bins, benches, shelters)
  • Telecom (poles, antennas, cabinets)
  • Urban tree canopy and landscaping

How it works

Day to day

  1. 1

    Consultancy specifies the target municipality and asset type

  2. 2

    System pulls the existing cadastre (or starts from scratch using imagery)

  3. 3

    For each point, fetches the closest Street View panorama + aerial tile

  4. 4

    Classifies, models, generates the report

  5. 5

    Output flows directly into the study's economic-financial model

Gains

What changes in the operation

  • Feasibility study becomes feasible to run before the go/no-go decision
  • Consultancy responds to RFPs in days, not weeks
  • Financial model runs on real data, not standard conservative assumptions
  • City and concessionaire decide on data, not on a spreadsheet estimate

Who this is for

Any study that needs to inventory public assets distributed at scale — lighting, pavement, drainage, signage, urban furniture, telecom. The engine uses Street View and aerial imagery as the primary source, and works for any asset that is visible and georeferenceable.

Works best when:

  • The asset is on public roads (and therefore covered by Street View)
  • The consultancy needs the data to feed a financial or regulatory model
  • The end client is a city, concessionaire or regulatory agency

If the asset is in an enclosed location (underground, inside private facilities), it needs an alternative imagery source.

What FELGOR Lumen isn't

Not a substitute for the official cadastre — feeds the model, doesn't replace the regulatory record. Doesn't decide whether the project is worth doing. It returns clean data. The decision stays with the consultancy. Doesn't replace field surveying for projects where on-site precision is mandated. It's a pre-study layer, not a final-execution one.

How it fits in

Pipeline runs externally. Consultancy receives the PDF report and the interactive map. No ERP integration, no internal process change.

Want to learn more about FELGOR Lumen before booking?

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