Turn Everyday Driving Into Road Intelligence

Retina Visions helps councils and road authorities automatically inspect roads and footpaths using AI, stereo vision and vehicle-mounted cameras — detecting, measuring and mapping defects as everyday fleet vehicles drive the network.


AI detection example: PotholeAI detection example: Crocodile crackingAI detection example: Edge damageAI detection example: RavelingAI detection example: FlushingAI detection example: RuttingAI detection example: VegetationAI detection example: Deformed signage
POTHOLE
Vehicle Setup

Simple Hardware. Zero Disruption.

Retina Visions deploys with a compact stereo camera that fits to any fleet vehicle. No specialist crews, no dedicated survey runs — just everyday driving turned into network-wide inspection.

Any fleet vehicle

Mount on existing council utes, contractor waste trucks or street sweepers — no dedicated survey vehicle required.

Plug-and-play install

Compact stereo camera unit fits onto your vehicle with a single power cable into your existing 12V outlet.

Zero driver interaction required

Crews carry on with normal duties while inspection happens automatically in the background.

The Problem

Traditional Road Inspections Are Too Slow, Costly and Inconsistent

Most councils already have vehicles driving their road network every day. Retina Visions helps turn those routine trips into continuous, automated condition monitoring.

Manual inspections take significant staff time

Defects can be missed between inspection cycles

Data quality can vary between inspectors

Reactive maintenance makes budgeting harder

Councils need defensible, measurable evidence

The Solution

Your Existing Fleet Becomes an AI Inspection Network

Road Vision Pro uses vehicle-mounted camera systems to passively capture road and footpath imagery as council vehicles complete their normal routes. The footage is processed using AI and computer vision to identify, measure, geolocate and prioritise defects.

Passive data capture

Imagery is collected automatically as vehicles drive — no extra effort.

No driver interaction

Drivers focus on driving. The system runs silently in the background.

Works with your fleet

Deploys on existing council and contractor vehicles.

Cloud-based AI processing

Imagery is processed at scale using computer vision pipelines.

Defect verification workflow

QA review ensures defensible, accurate defect data.

Export-ready asset data

Outputs fit straight into your asset and GIS systems.

AI Detection

Detect More of the Defects That Matter

Retina Visions identifies a wide range of road and roadside defects across four categories, helping teams move from manual inspection to scalable network intelligence.

Road Surface

Potholes
Cracking
Crocodile Cracking
Shoving
Rutting
Raveling
Flushing
Edge Damage
Faded Linemarking

Road Corridor

Kerb and Channel
Barriers and Guardrails
Litter and Debris
Vegetation
Overhanging Branches
Ponding Water
Sweeping
Roadkill
Graffiti

Signage

Deformed Signage
Faded Signage
Deformed Guideposts

Footpath

Cracking
Crocodile Cracking
Damaged Tactiles
Displacement
Edge Damage
Edge Drop
Faded Linemarking
Litter and Debris
Overhanging Branches
Ponding Water
Pothole
Sweeping
Temporary Repair
Vegetation
Stereo Vision

Not Just Detection. Measurable Defect Data.

Unlike basic mobile phone camera systems that classify defects from 2D imagery, Retina Visions uses stereo vision to capture measurable defect dimensions — including length, width and depth where applicable — giving councils more defensible, engineering-grade asset data.

Stereo vision measurement overlay on road defect
Length
Width
Depth (where applicable)
Area
GPS (cm accuracy)
Severity score
Defect type
Image evidence
Mapped & Prioritised

Mapped, Scored and Ready for Action

Every defect identified on your network is available in our web portal. To action your defects and generate work orders, simply feed the output data into your asset management system using our API.

Defect map dashboard

Interactive defect map

Severity filtering

Defect / asset filters

Defect evidence images

Monitor road coverage

Exportable datasets

The Workflow

From Vehicle Capture to Actionable Asset Data

01

Install

Camera system installed into any council or contractor vehicles.

02

Capture

Vehicles automatically collect imagery during normal operations.

03

Process

Images are automatically uploaded over 4G/5G and processed using AI in near real time.

04

Deliver

Defect data is mapped, prioritised and exported into council systems.

Natural Disaster Funding Tool

Natural Disaster Funding Claims, Backed by Defensible Road Evidence

Automatically compare pre-disaster and post-disaster road imagery, organise damage evidence, and generate reports for council disaster recovery funding.

Natural disasters create urgent pressure for councils to prove damage, justify repair works and prepare funding submissions. Retina Visions makes this process faster and more defensible. Our Natural Disaster Funding Tool uses imagery captured by Retina Visions cameras to automatically match road condition evidence before and after a disaster event. Council teams can review matched images, create damage records, add supporting details, automatically match post-repair evidence and generate structured reports for funding claims.

Automated Pre and Post Disaster Image Matching

Compare road condition imagery before and after a disaster event, automatically linked to the same location.

Map-Based Evidence Management

View disaster evidence spatially, filter by location, defect, event or claim area, and quickly identify affected sections of the network.

Claim-Ready Damage Records

Create and manage structured damage records with imagery, location data, notes, cost information and supporting evidence.

Post-Repair Evidence Capture

Automatically match post-repair imagery to show the full evidence chain from pre-disaster condition, to disaster damage, to completed works.

Faster Funding Claim Preparation

Reduce manual image searching, spreadsheet handling and evidence collation by keeping disaster claim data in one purpose-built platform.

Defensible Audit Trail

Support funding submissions with clear before-and-after evidence, mapped locations and consistent reporting outputs.

Integrations

Designed to Fit Council Asset Workflows

Retina Visions has existing integration into most council asset management systems.

Technology One
Brightly Confirm
Civica Reflect
Esri
Custom API / CSV exports
Why Retina Visions

Why Councils Choose Retina Visions

Most systems identify defects. Retina Visions helps councils measure, prioritise and act on them using practical, vehicle-mounted inspection technology built for Australian road networks.

Measure Defects, Not Just Detect Them

Stereo vision provides measurable defect dimensions, giving councils more useful data than image classification alone.

Severity Scoring for Prioritisation

Every defect can be ranked by severity, helping maintenance teams focus on the highest-risk issues first.

Capture Using Existing Vehicles

Turn everyday fleet movements into continuous road inspection without disrupting normal council operations.

Built for Australian Councils

Designed around local government road networks, maintenance workflows, asset teams and funding requirements.

Flexible Camera Deployment

Move cameras between vehicles and scale coverage without relying on dedicated survey vehicles.

Practical Maintenance Outputs

Deliver imagery, location, measurements and defect records that support real-world repair decisions.

Affordable Network-Wide Inspection

Make repeat inspections across the whole road network financially practical.

Data That Supports Action

Use Retina Visions outputs for maintenance planning, asset management, audit trails and funding evidence.

CONTACT

Book a demo to learn more.

See how Retina Visions can help your council automatically detect, measure and prioritise your defects, so that you can focus on fixing them.