
SAI IT Solutions — Product
AI-Powered Road Defect Detection
A computer-vision system that finds and classifies road defects from dashcam and vehicle-mounted camera footage, a mobile app, and drone or survey data — then maps each one by GPS and turns the results into dashboards, work orders, reports and API data road teams can act on.
How it works
Capture. Detect. Classify. Map. Report.
A computer-vision system that finds and classifies road defects from dashcam and vehicle-mounted camera footage, a mobile app, and drone or survey data — then maps each one by GPS and turns the results into dashboards, work orders, reports and API data road teams can act on.
Delivered in collaboration withIRIS (Intelligent Road Inspection System) by DigiInfra Agentic AI Technologies (opens in a new tab)

- 01 Capture
- 02 Detect
- 03 Classify
- 04 Map
- 05 Report
Detects
Potholes
Depressions and breaks in the surface.
Cracks
Linear, networked and alligator cracking.
Ruts
Wheel-path deformation.
Patches
Previous repairs and their condition.
Surface distress
Wear, ravelling and general deterioration.
Faded markings
Worn lane and road markings.
Edge drop-offs
Height breaks at the pavement edge.
Damaged signage
Missing or damaged road signs.
Built for
- Municipal corporations
- NHAI
- Smart cities
- PWDs
- Highway concessionaires
- Contractors
- Road agencies
- Central ministries
System capabilities
01Capture
Vehicle-mounted camera
Geo-tagged dashcam footage from patrol vehicles.
Mobile app
Capture and review from a phone in the field.
Drone & survey data
Drone and survey data brought into the same view.
GPS mapping
Every defect pinned to its location.
02Analyse
Severity classification
Defects graded so repairs can be prioritised.
Pavement condition
International Roughness Index (IRI) scoring.
Safety & compliance scoring
Road safety risks assessed and scored.
Asset inventory
Signs, guardrails and lights recorded with their condition.
03Act
Dashboard
Network-wide view of defects and severity.
Work orders & budget estimates
Prioritised repair lists with estimated cost.
Reports
PDF and Excel reports, NHAI- and PWD-compatible.
GIS maps
ArcGIS and QGIS integration.
API integration
Defect data delivered into existing asset and works systems.
The pipeline
From a drive to a repair list.
- 01
Capture
Dashcam and vehicle-mounted camera footage, the mobile app, and drone or survey data.
- 02
Detect & classify
Potholes, Cracks, Ruts, Patches, Surface distress, Faded markings, Edge drop-offs, Damaged signage — each graded by severity.
- 03
Score & map
Pavement condition (IRI), safety scoring and roadside assets, all pinned by GPS.
- 04
Act
Prioritised work orders, budget estimates, GIS maps, dashboards, PDF and Excel reports, and API data.
Who it's for
Built for the people responsible for roads.
- 01Municipal corporations
- 02NHAINational Highways Authority of India
- 03Smart cities
- 04PWDsPublic Works Departments
- 05Highway concessionaires
- 06Contractors
- 07Road agencies
- 08Central ministries
Pilot programme
See it run on your own roads.
SAI offers pilot deployments to road owners, run with DigiInfra's IRIS platform. A pilot covers a defined stretch of your network so your engineers can judge the output against their own inspections.
Related: Computer vision · Mobile app development · Sectors
