Red Sea resort, Phase II
AI segmentation of weekly captures gave a hospitality owner elevation-by-elevation finishing progress across 14 low-rise buildings.
Sample entry: live case study pending
- Client
- -
- Location
- Hurghada, Egypt
- Building type
- Hospitality resort, 14 buildings
- Scope
- Finishing and external works, 62,000 m² built-up area
Capture record
- 62,000 m²
- Built-up area tracked
- 14
- Buildings covered
- 96
- Capture walks
- 7 months
- Continuous coverage
This is a sample entry. It demonstrates the project template at full quality; replace the client, imagery, and figures with a real engagement before launch.
The situation
Finishing works on a coastal resort are hard to track precisely because the quantities are spread thin: waterproofing here, screed there, across 14 buildings and hundreds of rooms. The owner’s monthly reports aggregated everything into a single percentage nobody could interrogate.
What Oblix did
Oblix’s vision models segmented each weekly capture into work surfaces (insulation, screed, plaster, paint) and mapped their status building by building. The owner team read finishing progress off a coloured plan and drilled into the imagery behind any number.
What changed
- Percent-complete became auditable: every figure linked to the frames it was measured from.
- Slow-moving buildings surfaced weeks earlier than the contractor’s reporting cycle.
- Handover snagging started from the capture record instead of a blank checklist.
[PLACEHOLDER: 12–20s screen capture of the segmentation view panning across a building elevation, 1920×1080.]