A drive along a city street in Bratislava from a vehicle's camera, with traffic signs, poles, trees and a bus stop labelled by the CAMAN console; vehicles and people are blacked out

Anonymised for this demo

CAMAN Mobile

A regular view of your roads and public space

CAMAN Mobile records the state of the area you manage on the normal rounds of waste and service vehicles. AI analysis identifies road damage and selected objects in public space. Findings on the map, with their recordings, show managers the places that need attention.

Book a demo Deployment options

Regular routes

Collected on the route, processed at the depot

The on-board unit stores video together with position and time. When the vehicle is back, the recordings are transferred to the depot for AI processing. Operators then work with the results in the web console.

  1. Collect on the route

    Video, position and time on a normal drive.

  2. Transfer at the depot

    The stored recordings, over Wi-Fi.

  3. AI analysis

    Processed once the vehicle is back.

  4. Review the findings

    The map and the recording, in the console.

The regular routes of waste collection vehicles refresh the data during work they already do. CAMAN can also ride on road maintenance vehicles, street sweepers and other service vehicles. No extra drive is needed just to collect recordings; how often the data is refreshed follows the passes of the equipped fleet.

Supported detections

Detections for road and city services

  • A worn road with three potholes and a longitudinal crack labelled

    Roads and pavements

    Potholes, cracks, surface damage and selected faults of covers and drainage.

  • Two crew members emptying green waste cans into a collection truck, seen from its camera, with the cans, two potholes and two road patches labelled

    Waste management

    Bins, collection points, litter around them and selected situations on the round.

  • A city road with street lamps, traffic lights and traffic signs labelled by the console; passing cars are blacked out

    Public space

    Traffic signs, lighting, street furniture, greenery and other agreed objects.

  • In development

    Construction activity

    Scaffolding, building material and other visible signs of works, as a basis for a check. This detection is in development.

The scope of detections follows what the manager needs and is checked on recordings from the routes in question. For each area we agree whether the system records the object or assesses its condition.

Everything the detector recognises

The detector’s classes as the CAMAN console lists them. The detection categories you use can be chosen individually.

Road · 10

  • Large pothole
  • Medium pothole
  • Small pothole
  • Pothole group
  • Unclassified pothole
  • Road crack
  • Road patch
  • Open sewer cover
  • Closed sewer cover
  • Drainage grate

Pavements · 6

  • Large pavement pothole
  • Medium pavement pothole
  • Small pavement pothole
  • Pavement pothole group
  • Pavement crack
  • Pavement patch

Waste · 17

  • Blue waste can
  • Yellow waste can
  • Green waste can
  • Brown waste can
  • Black waste can
  • Tin waste can
  • Unclassified waste can
  • Blue waste bag
  • Yellow waste bag
  • Green waste bag
  • Brown waste bag
  • Black waste bag
  • White waste bag
  • Unclassified waste bag
  • Clean waste stand
  • Dirty waste stand
  • Illegal dumping

Signs and traffic lights · 9

  • Single traffic sign
  • Group of traffic signs
  • Sign on a post
  • Single traffic light
  • Group of traffic lights
  • Green signal
  • Orange signal
  • Red signal
  • Unclassified signal

Public space · 6

  • Street lamp pole
  • Bus stop pole
  • Open bus stop
  • Covered bus stop
  • Bus stop waste can
  • Graffiti

Greenery · 4

  • Tree
  • Short grass
  • Medium grass
  • Tall grass

Finding history

Damage and changes over time

CAMAN links findings from repeated passes and helps avoid duplicate records. For objects on the road surface it uses the vehicle’s position, RTK corrections where available and the camera’s calibration. The recordings of repeated passes let an operator compare the state of a place over time and check the result of maintenance.

  • First capture

    The finding’s position, time and image.

  • Later pass

    The operator compares how the damage has developed, or the state after a repair.

The CAMAN console’s Map view: a test vehicle’s drive with small and large pothole alerts pinned along the route, beside its front camera with traffic signs, a street lamp and trees labelled; the vehicle’s registration is blurred
Pothole alerts on the map beside the camera view, in the CAMAN console · 9 Oct 2026

Positions are worked out for objects on the road surface, such as potholes and other road damage. How precise they are depends on the RTK fix and the camera calibration.

Mobile kit

A kit built for work on a vehicle

The mobile solution consists of cameras, the CAMAN Main Unit on board, a positioning receiver with RTK support and a battery module. The number and placement of the cameras follow the vehicle and the areas it should capture.

  • Cameras
  • CAMAN Main Unit
  • Position with RTK
  • Battery module
The CAMAN on-board unit on the body of a waste collection truck, beside the exhaust, with the cab tilted forward
Mounted behind the cab of a waste collection truck. Here the cab is tilted forward.

Integrations

Findings connected to maintenance and asset management

CAMAN supports integration with GIS, asset registers and maintenance or financial systems. Your organisation can use the findings to plan repairs, estimate costs and prepare work orders. The scope of the connection follows the systems you have and the way each team works.

  1. CAMAN finding

    The place and the image.

  2. Operator review

    The condition checked.

  3. Maintenance system

    Connected the way your organisation works.

  4. Work order

    Confirmed findings put to use.

A road at dusk in Bratislava, seen from the front camera of the test vehicle, with a road crack and a group of traffic signs labelled by the CAMAN console

One finding

Finding
Road crack
Where
Dvojkrížna, Bratislava, with its GPS position
When
9 Oct 2026, 18:25:41
Evidence
The frame and the video it was found in
Source
Test vehicle, front camera
Review
An operator marks it true or false

ThenOn to GIS, asset management or a Digital Twin. Integration is scoped per deployment.

Integration example

A CAMAN finding in GIS and a 3D model

Geolocated findings can be used in GIS, asset registers or a Digital Twin platform. An example from the console and a prototype 3D model shows how the image, the position and the time belong together. The actual interface and the way data is handed over are set for each deployment.

  • GIS
  • Asset management
  • Digital Twin
  • Maintenance planning

CAMAN does not replace your GIS or the city’s digital model. Integration is scoped per deployment.

CANEX’s prototype 3D model of Bratislava below the castle hill, with the route a vehicle drove along Žižkova and the trees beside it; in the corner, the vehicle’s camera view with a sewer cover ringed and labelled

Prototype · a CAMAN finding in a 3D model

A sewer cover CAMAN detected on a drive along Žižkova, Bratislava, on 7 October 2026, placed on the street in CANEX’s prototype 3D model. Terrain: Zdroj produktov LLS: ÚGKK SR. Buildings and map: © OpenStreetMap contributors, © OpenFreeMap, © OpenMapTiles.

Reference deployment

CAMAN Mobile in operation

CAMAN Mobile · Slovakia

Michalovce

Waste collection vehicles gather recordings on their regular rounds. CAMAN uses them to document the state of the streets and to find damage and selected objects.

Read the case study

Next step

Try it on your routes

A pilot tests selected detections and how your teams work with the results, in your own operation. We set the routes, the scope of collection and the evaluation to the tasks CAMAN should support.

Book a pilot consultation

Or write to sales@caman.ai