Find road defectswhile the vehicledoes its normal run.
RoadScan AI helps councils inspect roads from equipped vehicles, so defects can be detected, mapped and reviewed without waiting for the next manual survey.
Continuous road inspection
Capture road condition data as inspection, patrol or service vehicles move through the network.
Defect details on the map
See where issues were found, what type they are and how serious they look.
Faster maintenance decisions
Turn road findings into clear priorities for crews, budgets and follow-up work.
Hardware Range
Equip vehiclesto inspect roadsas they travel.
RoadScan AI uses in-vehicle computing to inspect road conditions from a fitted vehicle, then sends the results into the cloud for review and action.
Put road inspection intelligence in the vehicle. In-vehicle AI computing for road condition capture.
The RoadScan AI computer is fitted to an approved vehicle so road condition data can be processed while the vehicle travels through the network.
Use equipped vehicles for repeat road inspection runs
Process road condition data from the vehicle
Send captured findings for review, mapping and reporting
Capture more road condition data without adding more survey days. Use the routes your team already drives.
Councils can use vehicles already moving through the road network to collect regular road condition data, instead of relying only on infrequent surveys or public reports.
Build a clearer picture of network condition over time
Find emerging issues before they become larger failures
Support road teams with repeatable inspection data
Roll out with installation, calibration and support. Hardware, setup and inspection workflow planned together.
Plan the vehicle fit, calibration, reports and council workflow before installing RoadScan AI.
Fit and calibrate the RoadScan AI setup for the vehicle
Start with priority roads, patrol areas or inspection routes
Expand coverage as the road team builds the process
VehicleYour vehiclePatrol or serviceInstallationHardware fittedCamera + computerCalibrationCamera alignedAI models tunedSupportLocal supportTraining + on callLiveInspecting roadsOn every road runCoverage grows over timeRoad Intelligence
Turn road findingsinto jobs your crewcan start today.
RoadScan AI gives road teams more than a list of defects. It helps show where issues are, how severe they are and which repairs should be reviewed first.
See defects in their road context. Map potholes, cracking, rutting and other surface issues.
Road teams can review recent defects on a map, see the affected location and understand the type of issue before sending crews to inspect or repair it.
Review defects by location, type and severity
Use map context to group nearby issues
Keep defect details close to the repair decision
Prioritise the defects that need attention first. Sort findings by severity and practical repair need.
Severity views help teams focus on the road issues most likely to affect safety, service levels or repair cost.
Separate high, medium and low priority findings
Review defect size, length or area where captured
Give supervisors a clearer repair planning queue
Road defects2,530 captured422 high · 1,248 medium · 860 lowPothole · 97%RS-04PotholeHigh97% confidenceMeasurement480 × 300 × 70 mmLocationPlenty Rd, BundooraCapturedRS-04 · Today 8:42 amDefectLocationStatusPothole480 × 300 × 70 mmPlenty Rd · BundooraHighNewFailed sectionArea 3.6 m²Yan Yean Rd · DoreenHighAssignedFatigue crackingArea 4.1 m²Cooper St · EppingMediumNewRutting18 m · 22 mm deepBridge Inn Rd · MerndaMediumNew1–4 of 7RoadScan AIPothole foundHigh severityDefect detailsKing St · GPSWork orderWO-4821 raisedSent to crewPlanningWorks planQ3 resurfacingReportWork historyFound → actionedDefect trail connected
Move from inspection to work order. Keep the road defect trail connected to the job.
When a defect needs action, the finding can support the next step: maintenance review, works planning, reporting or a connected work order process.
Keep location and images with the defect details
Support handover from inspection to repair planning
Help teams report on what was found and what happened next
Product Facts
Best fit,outcomes andcapabilities.
Match the product to the operational workflow it needs to support.
Best fit
Municipal road inspection
Civil maintenance operations
Infrastructure asset teams
Road condition monitoring programs
Outcomes
Detect road defects during normal vehicle movement
Map issues with severity and location context
Support work order creation and maintenance planning
Reduce reliance on purely manual inspection cycles
Capabilities
PV-RSAI RoadScan AI hardware
In-vehicle AI defect detection
Cloud-connected inspection workflow
Hawk and ERP integration options
Inspection Workflow
Road inspectiondetails the crewcan act on.
RoadScan AI supports the practical details councils need when moving from road condition capture to repair decisions.
Defect classification
Detect and group common road issues such as potholes, cracking, rutting and surface patch problems.
Severity views
Review findings by severity so teams can focus on the issues that need attention first.
Defect dimensions
Use captured size details where available to help supervisors understand the scale of the repair.
Recent defect review
See newly found road issues without waiting for a full manual condition report.
Interactive defect map
Use map views to check where defects are clustered and which routes need follow-up.
Network coverage
Build a clearer view of road conditions as equipped vehicles complete their normal runs.
Cloud results
Send captured inspection results into cloud-based review tools for office and operations teams.
Works planning support
Use defect data and images to support maintenance planning, crew scheduling and repair decisions.
Australian rollout support
Plan installation, calibration, training and support with a local IntelliTrac team.
All your operationaldata. As one.
Connect telematics, video safety, compliance, shared fleet access, assets, and field workflows.