Ageing stock, finite inspectors
A city's buildings age faster than surveyors can cover them. Crowdsourcing turns every resident's phone into a survey instrument.
StructAlert turns crowdsourced photographs of buildings and structures into AI condition scores, predicts likely failure — and alerts the right people to repair before it breaks.
By DKM Consult Limited · Hong Kong — in partnership with RaSpect
No sensors, no hardware — just the cameras people already carry
Condition score in minutes, not months of inspection backlog
Alerted before it breaks — not summoned after the collapse
Four steps between a photograph and a prevented failure.
Anyone photographs a crack, spall, or leaning structure. Photos arrive geotagged and timestamped from the crowd.
Computer vision identifies defects and scores the structure 0–100 against inspection benchmarks.
Deterioration trajectories, typhoon seasons, and loading context estimate when — not if — it fails.
Owners, engineers, and authorities receive prioritized alerts with recommended actions — before failure.
Three pressures that make waiting for the next scheduled inspection too slow.
A city's buildings age faster than surveyors can cover them. Crowdsourcing turns every resident's phone into a survey instrument.
Each storm stresses façades, glazing, and cantilevers. StructAlert keeps watch between inspections — and right after them.
Early intervention costs a fraction of emergency repair — and averts injury, closure, and loss.
DKM Consult Limited builds artificial-intelligence building façade inspection and monitoring systems. StructAlert is our crowdsourced early-warning network for the built environment — condition intelligence supplied by the people who live and work around it.
Early-access invitations are rolling out to building owners, engineers, and owners' committees in Hong Kong first.
Tell us your building, your role, and one structure you worry about. We'll reply within two working days.