Surveys · A local authority Public-space hazard survey from vehicle imagery
Vehicle imagery and AI detection located hazards on pavements and in public space, each placed as a point in a GIS layer.
The challenge
Hazards on pavements and in public space usually come to light only after someone calls the hotline. Fixing them ahead of time takes a picture of every street, not only the ones that generated complaints.
The solution
A camera vehicle drove the streets and an AI model flagged pavement and public-space hazards in the imagery. The detections were placed on the aerial photo and built into a hazard layer that can be filtered and sorted.
The result
Maintenance teams see the hazards on the map, prioritise them by location and type, and go out to fix them from a list rather than only from complaints.
What was delivered
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GIS hazard layer
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Street imagery from the vehicle survey
From the project
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Hazard points along streets in a dark GIS interface
