Applications / Operations Intelligence
Flood & Standing Water Detection
Detects flooding, standing water, blocked drains and weather-related surface hazards across roads, yards, plant areas and building interiors.
See it in action
An underpass that filled in eleven minutes
Video slot — awaiting upload.
What it detects
Water arrives faster than a patrol can cover ground. Fogsphere reads the cameras already looking at the road, the yard and the plant floor, and reports where water is standing.
Flooded roads and standing water
Detects flooded roads, standing water, blocked drains, mud, snow, ice and debris across the network.
Blocked drains and drainage condition
Flags drains blocked or backing up, and drainage points where water is not clearing.
Water pooling on plant floors
Detects water pooling around machines, walkways and process areas indoors.
Wet floors, flooding and water leakage
Detects wet floors, flooding and water leakage in turbine halls, pump rooms and plant interiors.
Weather-related hazards in exposed areas
Detects snow, ice, flooding and weather-related hazards in exposed site areas and at entrances.
Standing water across site and yard areas
Detects standing water, mud and slippery surfaces across active construction and yard areas.
Underpass, tunnel and low-point monitoring
Watches underpasses, tunnels and known low points, where water accumulates first.
Bund and containment water accumulation
Flags water accumulating inside bunds and secondary containment, where it reduces the capacity available.
Disaster-response support
Supports flood, fire and storm response with a live picture of which routes and areas are passable.
Blocked access and egress from water
Flags ramps, crossings, entrances and accessible routes made impassable by water, ice or debris.
Critical-asset condition after water events
Surfaces bridge, tunnel, underpass and retaining-wall condition where a view is available after an event.
Where it applies
The smart-city paper describes flooded roads and blocked drains; the power, chemical and construction papers describe the same water indoors and inside bunds. One detection, four registers.
How it works
Edge inference on the cameras you already have
Standing-water detection runs on the edge device next to cameras already covering roads, yards, low points and plant floors. Surface change is read from the existing view rather than from a level sensor at one point.
Zones, thresholds and schedules you configure
Draw each carriageway, yard bay, underpass or floor area, set the extent of water worth flagging, and set the schedule and weather conditions under which the rule applies.
Every event carries its own evidence
Each detection is logged with a timestamp, the camera and zone it came from, and a short clip. The record can be reviewed, exported or attached to an investigation without trawling through hours of footage.
Feeds the systems already in place
Events surface in Fogsphere Manager and route outward to the traffic-management system, works ticketing queue, incident log, control-room wallboard or messaging channel operators already watch.
Risk & control objective
The control objective is knowing which locations have water on them right now. Rain-gauge and river-level data describe the catchment; they do not say that one underpass is impassable and the one two streets over is clear.
The value is coverage without new hardware. Level sensors are installed at the points somebody predicted would flood. Cameras are already at junctions, gates, yards and plant floors — and the places that flood are not always the places on the list.
After the event the same record supports the claim and the review. When water arrived, how fast it rose, which routes closed and when they reopened — recorded rather than reconstructed.
Related solutions
Know which locations have water on them, now
We will show you standing-water detection, low-point monitoring and route-status reporting on your own camera estate.