We develop the of fully automated geospatial asset management systems to enable future data augmented Smart Cities.

Innovative Scalable AI-Powered Solutions

We provide groundbreaking scalable AI-powered solutions for various aspects of asset condition monitoring, asset management, and planning for different urban use case scenarios. We use state of the art AI-based technologies for digital geospatial asset capturing and management. We employ ultra-high-resolution equipment for image and video recording and high-precision positioning devices to bound the road or kerb-side asset data to their exact coordinates.

Our AI-based data image processing engine detects and catalogues assets and defects, rates their serviceability conditions and analyses the level of hazard that severe defects impose on road and footpath users. The solutions we provide are tightly integrated with the existing software systems in our clients’ IT environment.

Road & Roadside

FEDASEN - Solution - Road and Roadside

Intelligent Road Analysis solution scans and processes the carriageway and roadsides for any type of asset and defect on or by the road. It detects road signs, traffic management signs, special-purpose zone signs, traffic control systems, barriers, kerbs and channels, city furniture, traffic monitoring system, natural landscaping, and many more and puts them under multi-level categories.

It also automatically detects and categorise 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.


FEDASEN - Solution - Pavement Markings

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.

The condition rating 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.

Footpath & Verge

FEDASEN - Solution - Verge and Footpath

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.

It calculates the shape, boundaries and area of the surfaces and locates the asset and defects on Cross-Sectional Position standards.

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.

Smart Services

We understand how cumbersome and error-prone is gathering the correct and accurate data on the valuable assets on the roads and streets and so are keeping them up to date and auditing them. The same goes with collecting data on the defects that deteriorate the assets through time and events.

We also understand that most of the current technological solutions out there are not quite adequate to support all aspects of the business, seamlessly. So, we have come up with a “state-of-the-art equipment + software algorithms + Artificial Intelligent” solution to thoroughly cover what our clients need for building an inventory of geospatial assets and defects, analysing their current status and condition and keeping the inventory updated to follow real-world changes, analyse the defects from different points of view and initiate and coordinate development and maintenance work orders.

No more low-quality discrete geo-data

FEDASEN has innovated a data capturing approach that utilises advanced mobile equipment, ultra-high-resolution cameras and GNSS / GPS receivers to rapidly capture the most accurate data for footpaths assets and defects and their exact location, to extract and store the required attributes and assess their conditions.
FEDASEN - Services - Capturing

No human inspection or data gathering

Thanks to Machine Learning technologies, our solutions utilise visual pattern recognition and a high-performance post-processing workflow to extract the required geo-referenced data of the assets and defects out of recorded images and videos as well as vehicle’s movements and register them in the system’s data store. The system recognises any type of asset or defect, be it a sign installed on a post, a marking painted on the pavement, a driveway built at the entrance of a house, kerb alongside a footpath, a safety barrier, a crack or pothole on the pavement or a defected or deformed pavement or footpath surface. We detect them all.

No object is left behind

Detecting assets and defects by data capturing equipment and software technique is one thing, but automatically categorising such a vast variety of objects under a flexible, totally customisable, multi-level classification at the time of detection is quite a challenge we have faced and overcome. We have utilised Artificial Intelligent in classifying assets and defects and have been able to detect and classify over 250 types of assets, up to 15 types of special-purpose zones and up to 40 types of defects either on the footpath or the carriageway pavement.

Condition rating of every asset is automatically done

While detecting surface and roadside assets, we also capture and compute their overall serviceability conditions. Rating the serviceability condition of the assets is performed fully automatically by FEDASEN’s AI engine and the same techniques of sampling and pattern recognition.

All defects are rated based on their severity

Just as our clients need to know the serviceability condition of their assets, they also demand us to perform a rating on the severity of the detected defects. This is important from the maintenance standpoint. They intend to plan for and issue work orders so that maintenance teams can take care of the defects based on their severity. The defects on the roads and footpaths are categorised under three severity levels – low, moderate and high, which can also be broadened at the localisation phase of each project to express a more detailed ranking.

No hazardous condition is overlooked

Hazardous conditions on a road or a footpath arises from a highly severe defect, a natural event or an accident. A protruding tree root, a complete block failure on a footpath, a deep pothole and a steep crossfall can impose a hazard to road or footpath users and can harm people or damage vehicles. Our solutions are trained so that they can identify such hazardous conditions and put them in a separate classification to be treated with more urgency.

We rate the hazards based on their safety risk

As we classify the hazardous conditions on the roads or footpaths separately, we also process them to figure out their severity and the risk level they inflict on the public. We see this as a rating on the top of the defect severity rating which helps the users of the client to issue the maintenance work orders with even more urgency. The defects on the roads and footpaths are categorised under three risk levels; low, medium and high. But this is just another flexible ranking that can be widened at the localisation phase of the project to express a more fine-grained risk level.

Every change in placement and condition are kept historically

The placement and condition of the asset and the defects change over time – new assets are installed, existing assets are removed or relocated, accidents and natural events break installed assets, pavement markings get wiped, a sign gets hidden behind foliage, etc. All these changes need to be captured and logged in the system entirely automatically in every data capturing trip on the road or footpath, and this is what our solutions do. They look for any changes in the newly recorded images in comparison to the previous ones.

We know how your assets are deteriorating

In order to forecast an asset’s deterioration and be prepared to take necessary actions for keeping it in good condition, multiple sources of data are needed. FEDASEN has gathered all the information together to make it happen. We have rating components for asset condition, defect severity and safety risk of the hazard, each of which feeds the deterioration forecast component to compute the usage level and deterioration rate of conditions of the assets and defects. We can also include the data feeds and the footage of other sources to enrich the process and make the outcome even closer to reality.

A responsive web-based application to visualise everything

FEDASEN provides a web-based software application with a responsive, comprehensive, easy-to-use interface to view, audit, correct and plan every single asset defect and its related objects. It visualises assets and defects with their precise GPS location on any standard map, it displays still and panoramic images of them, as well as captured and processed data taken out of images and devices.
The application is dashboard-based and map-centred, you can filter the objects by type, location, condition, etc. or draw a line, circle or polygon on a map to limit a geographical area. The result of the data selection can be exported to standard machine-readable formats and human-readable reports.


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.


FEDASEN - Assets - Signage

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

Line Marking

FEDASEN - Assets - Line Marking

Parking bay
Special Purpose Zone
Separator Line
Edge Line
Directional Arrow


FEDASEN - Assets - Surface

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


FEDASEN - Assets - Zone

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


FEDASEN - Assets - Infrastructure

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


FEDASEN - Assets - Landscape

Grass-covered Areas
Exotic Species
Flowering Plant
Shrub & Hedges

Condition Rating

The condition rating is an integral component of all our solutions. It determines the overall serviceability of the detected assets and labels them as Brand New, Good, Fair, Poor and Unserviceable.

Pavement Defects

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.


FEDASEN - Pavement Defects - Cracking

Longitudinal Cracking
Longitudinal Joint Cracking
Transverse Cracking
Crocodile Cracking
Corner Cracking

Pothole & Patching

FEDASEN - Pavement Defects - Pothole

Pothole Patch
Unsuccessful Patch
Heavy Patch


FEDASEN - Pavement Defects - Displacement

Edge Drop
Concrete Joint damage
Slab Replacement


FEDASEN - Pavement Defects - Texture

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

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.


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


Key Advavtages

Any solution we provide is:


  • 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


  • 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


  • 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


  • 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.


  • 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