Pothole and crack risks
Road damage and debris create safety hazards, but manual inspection alone can miss critical locations.
Multi-hazard detection
Detect potholes, cracks, FOD, and roadway asset anomalies in one analysis flow.
A road safety operations platform that detects road hazards with drones and AI
D-ROAD uses drone imagery and AI analytics to detect potholes, cracks, FOD, and roadway asset anomalies, then brings those findings into map-based review workflows for maintenance prioritization and field inspection planning.
Multi-hazard AIPothole, crack, and FOD review support
Ops DashboardMap-based review and prioritization
Review SupportMaintenance and inspection review support
Problem & Value
Road safety slows down when field detection and operational response are disconnected.
Conventional inspections depend on time-intensive field work and delayed reporting. D-ROAD connects road data collection, AI analysis, dashboard review, and maintenance response in one workflow.
Limited manpower and time
Manual checks and sample-based surveys reduce coverage and increase repetitive work.
Drone-based survey support
Capture wide road sections with drones and review them with AI-assisted analysis to improve survey efficiency.
Disconnected review context
When field information is separated from the review workspace, it becomes harder to organize response priorities.
Dashboard-based review
Review location, severity, and asset conditions together in one map-based workspace.
Workflow
One operational flow from collection to maintenance action
D-ROAD connects drone capture, AI detection, dashboard review, and field response into a single road safety pipeline.
01
Data Collection
Capture full road sections with drones to secure road-surface and asset data quickly.
02
AI Detection
Use AI-based analysis to detect and organize potholes, cracks, FOD, and asset anomalies.
03
Dashboard Review
Review location, severity, and section-level status in one map-based interface.
04
Response & Maintenance
Turn alerts and priorities into inspection plans and maintenance actions.
Detection Coverage
What D-ROAD Detects
D-ROAD identifies both pavement defects and roadway assets, so the output supports real maintenance planning instead of damage detection alone.
pothole 0.95
Potholes
Quickly identify surface holes and severe damaged spots on the road.
crack 0.93
Cracks
Capture linear pavement damage and organize inspection priorities.
tire 0.97
FOD
Detect foreign objects and obstacles on the roadway before they become incidents.
lane marking 0.96
Lane Markings
Recognize lane lines and road markings together with surface conditions.
manhole 0.94
traffic light 0.95
road sign 0.93
drain 0.92
Road Assets
Track manholes, traffic lights, signs, and drainage assets together.
CfSM
CfSM refines the input imagery before D-ROAD detection so pavement defects and roadway assets appear more clearly.
CfSM (Car-free Street Mapping) removes vehicles and shadows to secure clearer pavement, markings, and asset boundaries. That cleaner input helps D-ROAD review pavement defects and roadway assets more consistently.
CfSM Cleanup
Remove vehicles and shadows so pavement and asset boundaries stay visible.
Cleaner Input Imagery
Lane markings, defects, and asset positions appear more clearly for stable detection input.
More Structured Review
Reduce noisy inputs so teams can review detections and follow-up actions in a clearer workflow.
Use Cases
Where teams use D-ROAD
D-ROAD is most useful where road inspection, hazard review, and asset checks need to happen faster in real operating environments. These are the kinds of teams and workflows it fits best.
Municipal and public road management
Use D-ROAD to review potholes, cracks, and FOD when public road teams need to organize inspection priorities.
Airport, industrial, and campus operations
Fit recurring inspections and asset checks in controlled road environments with frequent vehicle movement.
Control and maintenance operations
Help teams review detections with map context and connect hazard checks to field inspection and follow-up maintenance planning.
Turn road hazard data into operational safety intelligence with D-ROAD.
Use the demo to review AI detection results, map-based review flows, and facility management workflows.