FiRA – Fedasen Intelligent Road Analyser

We deliver the next generation of fully automated geospatial asset data collection, condition assessment and asset management systems using Machine Learning and Agentic AI, enabling data-augmented Smart Cities with precision, automation, and insight.

Innovative Scalable AI-Powered Solutions

Fedasen is an Australian technology company leading the transformation of road and roadside asset management through AI, machine learning, and geospatial innovation.
Fedasen has developed intelligent, automated solutions that redefine how infrastructure assets are identified, assessed, and maintained. Powered by its flagship technologies, FiRA for AI-driven data collection and FAMS for enterprise asset management, Fedasen delivers a fully integrated System + Data model. This approach enables real-time asset classification, condition assessment, and predictive planning, helping councils and infrastructure managers make smarter, data-informed decisions across entire networks.

Automated Asset Identification

FiRA (Fedasen Intelligent Road Analyser) scans and processes the carriageway and roadsides for any type asset and defect on or by the road. It detects a wide range of elements, including road signs, traffic management signs, special-purpose zone signs, traffic control systems, barriers, kerbs and channels, city furniture, traffic monitoring systems, and natural landscaping, categorising them under multiple levels.

It also automatically detects and categorises various types of surface defects, from cracking and patching to joint issues and texture deformations.

The solution can be utilised for state highways and roads, main and local roads, city streets and lanes.

Our hardware set can be mounted on any ordinary vehicle to go with the regular flow of traffic without the need for any traffic management.

Road & Roadside Asset Identification

Thanks to Machine Learning, FEDASEN’s solutions utilise a high-performance post-processing mechanism to extract and classify geo-referenced data of various types of surface, point and linear assets and build a multi-level classification, related inventory.

Signage

Road & Traffic Signs
Traffic Management
Traffic Control Systems
Speed & Incident Management System

Lines

Parking bay
Special Purpose Zone
Separator Line
Edge Line
Directional Arrow

Surface

Carriageway & Road Lanes
Footpath & Shared Path
Earth & Planted Verge
Hump & Driveway
Bridge & Overpass

Zone

School Zone
No Stopping & Parking Zone
Bus & Taxi Zone
Loading Zone
Special Vehicle Zone

Structure

Safety Barriers & Fencing
Retaining Wall
Kerb & Channel & Drainage
Bus Stop & TGSI
Manhole and equipment

Landscape

Grass-covered Areas
Exotic Species
Flowering Plant
Tree
Shrub & Hedges

Pavement Marking

FEDASEN provides a specific solution for pavements and pavement markings. The solution sweeps the surface of the carriageways, hunting any longitudinal, traversal, area and point markings by which the loading zones, school zones, bus bays, parking spots, lane separators and driving restrictions are demarcated.

The ability to scan multiple lanes of a wide carriageway – such as a highway – in one trip is an extraordinary feature of our solution that makes it much faster and more affordable in comparison.

Pavement Condition Assessment is an integral part of all our solutions, which is performed using pattern recognition and Machine Learning. The solution also notices the changes in the placement and serviceability condition of the assets and keeps a change history for audit and planning purposes.

Asset Condition Assessment

FiRA employs advanced AI-based image processing techniques to assess the condition of both point and linear assets across road and footpath networks. For point assets, FiRA generates a direct condition rating ranging from Very Good to Unserviceable. For linear assets, such as line markings, safety barriers, and road stretches, FiRA provides two distinct condition ratings:

Defect-Based Condition Assessment, which evaluates the type, severity, and distribution of defects within a segment.
Overall Segment Condition Evaluation, which aggregates all defect data to produce a comprehensive condition score for the entire segment.

Fedasen’s Smart Services

Data Capturing

No more low-quality discrete geo-data. FEDASEN has innovated a data capturing approach using advanced mobile tools, ultra-high-resolution cameras, and GNSS/GPS to rapidly capture precise data for footpath assets and defects, their exact location, extract needed attributes, and assess conditions. Our method ensures the highest accuracy and efficiency in asset and defect recording.

Asset & Defect Detection

No human inspection or data gathering. Using Machine Learning, our solutions apply visual pattern recognition and a high-performance workflow to extract geo-referenced data from recorded images, videos, and vehicle movements. The system detects all asset and defect types—signs, markings, driveways, kerbs, barriers, cracks, potholes, or deformed surfaces—ensuring nothing is missed.

Asset & Defect Classification

No object is left behind. Detecting assets and defects is one task, but categorising them automatically under a flexible, customisable, multi-level classification is another. FEDASEN’s AI classifies over 250 asset types, up to 15 special-purpose zones, and up to 40 defect types on footpaths or carriageways, ensuring precise and structured data organisation for better asset management.

Asset Condition Assessment

Condition rating of every asset is done automatically. While detecting roadside and surface assets, we also compute their serviceability. FEDASEN’s AI engine rates asset condition using sampling and pattern recognition, giving clients accurate, up-to-date assessments without manual inspection, enabling better planning and timely maintenance scheduling for all recorded asset types.

Defect Severity Rating

In FiRA, all pavement defects are rated by severity. Just as asset condition is important, defect severity helps plan maintenance. FEDASEN categorises road and footpath defects into three levels: low, moderate, and high, adaptable at project localisation. This rating supports informed decision-making and prioritisation for repair teams, ensuring timely attention where it is most needed.

Footpath Hazard Detection

No hazardous condition is overlooked. Hazards from severe defects, natural events, or accidents—like tree roots, block failures, potholes, or steep crossfalls—pose risks to pedestrians and vehicles. FEDASEN’s solutions identify and classify such hazards urgently, enabling targeted action and improving safety for all road and footpath users in a structured, consistent approach.

Safety Risk Rating

We rate hazards by safety risk. Beyond severity, we assess the risk level hazards pose to the public. This rating supports urgent maintenance decisions and complements defect severity ratings. Hazards are classified into three risk levels—low, medium, and high—adaptable to project needs, providing a finer safety measure for prioritising responses effectively.

Change Detection

By our Change Detection service, every change in placement or condition is logged. Assets and defects evolve—new installations, removals, relocations, or damage. FEDASEN automatically captures these during every data trip, comparing new images with historical ones. This ensures accurate tracking of changes over time, keeping asset records precise and maintenance strategies fully informed.

Deterioration Forecasting

FiRA figures out how assets deteriorate. By combining asset condition, defect severity, and change detection services, FiRA forecasts deterioration rates. Multiple data sources enhance this process, helping predict usage impacts and schedule preventative maintenance. Additional feeds and footage can be integrated for improved accuracy and more reliable long-term asset planning.

Visualisation

A responsive browser-agnostic and device-agnostic web app visualises all data. The FiRA Portal platform displays assets and defects on standard maps with images, GPS locations, and processed details. FiRA Portal allows users to filter assets and defects by type, condition, or location, draw map shapes to select areas, and export results in standard formats. The dashboard ensures clarity, accessibility, and full control.

Pavement Defect Identification

Our solutions, aside from the overall condition rating which is performed on any type of asset, detect and classify assorted types of pavement defect and deformation. They also determine the level of severity of the defects and figure out if they impose any significant safety hazard to the public.

Cracking

Longitudinal Cracking
Longitudinal Joint Cracking
Transverse Cracking
Crocodile Cracking
Corner Cracking

Pothole & Patching

Pothole
Pothole Patch
Unsuccessful Patch
Heavy Patch

Joints

Edge Drop
Concrete Joint damage
Misalignment
Disjointing
Slab Replacement

Texture

Depression
Stripping & Scraping
Spray seal
Flushing & Bleeding & Raveling
Spalling & Micro Milling

Footpath & Verge

Our customised solution for capturing and processing numerous classes of assets and defects covers footpaths, shared paths, cycle paths, verges, driveways and ramps, bus stops and shelters, stairs, infrastructural equipment, service pits and many more.

The pathway hazards – such as edge drop-off, tree root and overhanging – are discovered and their severity is determined.

Furthermore, the safety risks are automatically assessed by the system without any on-site inspection, referring to engineering handbooks and manual data entry.

Footpath & Shared Path Defects

FEDASEN’s specific solution for footpaths detects and classifies the defects and deformation on footpaths, shared paths and cycle paths. The solution also computes the severity of the defects, their area and placement on the path.

Corner Cracking

Displacement

Grinding

Transverse Cracking

Edge Drop-off

Planing

Our solutions contain components for automated usage/traffic pattern identification, hazard identification, safety risk rating, high-level priority ranking for the tasks, cost prediction for maintenance tasks, automated work order and task scheduling. Such components enable the automated creation of various plans including short term plans, long term plans, and financial plans. By using Fedasen’s components for high-level priority ranking and work order generation, we can automatically propose response time for maintenance work considering a comprehensive set of factors including condition rate, severity, deterioration rate, safety risks, the volume of asset/traffic users, available budget, estimated current cost, and estimated future cost within short- and long-term maintenance plans.

Short Term Planning

High-level priority ranking
Automated short term work order and recommendations
Automated work order and scheduling for maintenance tasks
Automated hazard identification
Rapid and efficient responding to hazardous situations

Long Term Planning

Optimal, cost-aware, and efficiency-aware long term planning
Automated long-term maintenance recommendations
Automated insights on efficiency and impacts of changes on different planning options
Deep data-driven planning insights

Financial Planning

Budget and financial planning for short and long term

Current and future cost prediction for maintenance work

Schedule for a Demo

Customers

Key Advavtages

Every solution we provide is:

Intelligent

It utilises computer vision to automatically detect objects on or at the side of the roads
It employs machine learning to train and enhance itself
It uses multiple sources – image, videos, data forms – to improve the quality of data

Accurate

It accepts and processes the output high-resolution recording devises
It is fed by the devices that detect the physical location of the objects with a centimetre-level precision
It improves the accuracy of the data in each recording round trip

Accessible

It works on any type of standard device, from desktop PCs to mobile devices
It accepts the base images and videos from various recording devices
Its data can be accessed through various interfaces, from its own user interface to service buses

Affordable

It accepts input from a wide range of recording devices, not just the high-end ones, depending on the precision required and the devices owned by the customer.
It can be implemented in a purely SaaS environment or be set up on the premise of the customer.

Conformant

It is developed according to the best practices of software development
It conforms to the highest standards of web application development in security, performance, scalability
It integrates with existing modern and legacy systems

ISO Certificates