iRoadTech turns inspection vision and vibration into a live digital twin of your road network — parking signs, pavement defects, kerbs and channels, and beyond. Captured with smartphones or dedicated sensors. Delivered through one visualisation portal.
Solutions
Each module is a standalone AI service. Combined, they form a complete digital twin of your road and parking assets.
AI pipeline that detects, interprets, and maps parking signs from dashcam footage. Compliant with VicRoads TEM and AS1742.11. Powers a live digital twin of council parking signage.
Learn MoreComputer vision models locate, classify, and measure pavement defects — cracks, potholes, surface failures — and auto-generate inspection reports for prioritised maintenance.
Learn MoreAutomated kerb and channel condition assessment using CV-based models. Replaces labour-intensive manual surveys with consistent, repeatable AI analysis of inspection footage.
Learn MoreTwo flexible capture options — smartphone-based sensing for low-cost, network-wide coverage, or dedicated dashcam instruments for fleet-grade inspection. Both feed the same digital twin pipeline.
Learn MoreTechnology
A shared AI stack — vision language models, geospatial processing, and rules engines — powering every module from raw imagery to map-ready insight.
Process
From a vehicle drive-through to a live digital twin in six automated steps — the same pipeline runs every module.
Step 01
🚗Drive the network with a smartphone or one of our dashcam instruments. Video and GPS are recorded automatically — no specialist crew required.
Step 02
⬆️Inspection automatically uploaded to the platform. No hassle of manual uploads.
Step 03
🔍Vision models locate the relevant assets in every frame — parking signs, pavement defects, kerbs, channels — and crop them for the next stage.
Step 04
🧠Multi-VLM and specialist measurement models extract structured attributes — sign rules, defect class and size, kerb condition — validated by a rules engine.
Step 05
📍Detections are geolocated using interpolated GPS and snapped to the nearest road segment via OSRM, anchoring every asset to a real location on the network.
Step 06
🗺️Results land in the Visualisation Portal as a live, filterable digital twin — and as structured exports for your asset management systems.
Use Cases
Purpose-built solutions for the organisations responsible for road and parking infrastructure.
Replace manual field surveys with a continuously updated digital twin of your signage, pavement, and kerb assets. Currently demonstrated with the City of Monash.
Track network-wide compliance with VicRoads TEM and AS1742.11. Detect damaged pavements and missing or inconsistent signage from routine inspection footage.
Access structured asset and roughness data for transport modelling, kerb-space optimisation, and evidence-based maintenance prioritisation across entire municipalities.