SAI Sustainable Services Inc.
Software developers at multi-monitor desks in a dark office overlooking a city skyline at dusk

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.

Software developers at multi-monitor desks in a dark office overlooking a city skyline at dusk
  1. 01 Capture
  2. 02 Detect
  3. 03 Classify
  4. 04 Map
  5. 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.

  1. 01

    Capture

    Dashcam and vehicle-mounted camera footage, the mobile app, and drone or survey data.

  2. 02

    Detect & classify

    Potholes, Cracks, Ruts, Patches, Surface distress, Faded markings, Edge drop-offs, Damaged signage — each graded by severity.

  3. 03

    Score & map

    Pavement condition (IRI), safety scoring and roadside assets, all pinned by GPS.

  4. 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.