Imajing support
Answers to the questions we are asked most often about Imajing mobile mapping technologies, infrastructure management and the applications our customers build on them — from field acquisition with imajbox® to production in imajview® and sharing through imajnet®. Questions are grouped by profile so you can go straight to the topics that concern your organisation.
11 questions
What mobile mapping is, what an imajbox® can survey, and how Imajing data is processed, shared and anonymised.
YES. Mobile mapping is a method for collecting and georeferencing data from a moving platform. Mobile Mapping Systems typically combine positioning technologies, cameras and, depending on the system, other remote-sensing technologies. They enable fast and continuous data collection for applications such as road and railway maintenance, mapping projects and infrastructure safety.
YES. imajbox® is designed for high-speed collection of georeferenced data along transportation and linear networks. Depending on the configuration, it can be mounted on cars, trains, bikes, trucks, boats or helicopters and used to survey roads, railways, bike paths, waterways and electrical lines for mapping, asset inventory, assessment and project monitoring.
YES. imajview® can work with georeferenced planar or panoramic imagery from Imajing systems as well as other mobile mapping systems. It can also work with point clouds, raster layers, vector layers, spatial databases and data published through imajnet®.
YES. imajnet® can be integrated into GIS environments through a dedicated QGIS plugin, an ArcGIS Online widget and a JavaScript SDK for other desktop or web applications.
YES. The Imajing AI workflow accepts imajbox® surveys as well as external datasets. The site specifically lists data from Teledyne, Mosaic, Trimble, Leica, IGI and Topcon among the supported external sources.
YES. Imajing provides automated blurring of individuals and vehicle license plates. The processing services page specifically states that this anonymization process was developed to preserve privacy and comply with GDPR requirements.
NO. IMAJING is not a service company. We primarily provide technical solutions adapted to the needs of service companies, road and railway infrastructure managers, local authorities and cities.
IMAJING also provides selected complementary services. Discover our services.
YES. IMAJING mobile mapping solutions, as well as its software solutions, are not subject to U.S. ITAR regulations. For our customers, this means no dependency on U.S. ITAR authorization to purchase, use, integrate or deploy these technologies internationally. Exports remain subject, where applicable, to the regulations, sanctions and controls applicable according to the country, the end user and the intended use.
Learn more: IMAJING ITAR-FREE.
YES. Having good geographic positioning and accurate elevation is key, but this is often not enough to work with existing linear data and field teams. A Linear Referencing System (LRS) combines a network topology and its milestones, so that a location can be expressed as a road or track and a milestone. Imajing has integrated linear referencing tools across its entire toolchain, making it possible to localize assets using both geographic and linear positioning, expressed in kilometers or miles.
Learn more: Linear Referencing Across the Imajing Ecosystem.
YES. Any existing LRS (network topology and milestones) can be imported, or an LRS can be built from scratch with imajview® by importing or creating network topology from survey traces, and by using milestones or kilometric points from any point layer, from AI milepost detection with OCR reading, or from manual positioning in imagery or point clouds. Once an LRS is published, any geographic position is automatically projected onto the closest LRS topology and computed in linear coordinates. Locations can be searched by road/track and milestone on both desktop and web solutions, and in the field, users can localize themselves in real time in linear coordinates with the Imajnet LRS App smartphone application.
Learn more: Linear Referencing Across the Imajing Ecosystem.
YES. Whether you manage railways, roads, pipelines, electrical networks or waterways, linear referencing provides a common framework to precisely locate, manage and monitor assets along your infrastructure. Teams gain one shared network reference, more reliable asset locations, consistent linear coordinates, easier collaboration between teams, improved inspection and maintenance planning, and the reuse of existing network data.
Learn more: Linear Referencing Across the Imajing Ecosystem.
10 questions
Keeping road asset databases current, detecting change between surveys, monitoring pavement condition and exporting to GIS.
YES. Regular collection of accurately georeferenced imagery gives road managers current field information that can be used to maintain GIS and CAD asset databases and prepare site interventions. imajview® can then be used to create, edit, characterize and export GIS information from imagery, maps and point clouds.
YES. Imajing provides change-detection capabilities for recurrent surveys. Its AI workflow can use new surveys to update inventories, add newly detected equipment as new entities and confirm equipment that is still present.
YES. The ready-to-use models presented on the site include directional and police signs with OCR, public lighting, traffic lights, manholes, drains, gutters, horizontal road markings and pavement-distress segmentation.
YES. Imajing AI includes a pavement-distress segmentation model, while road-survey imagery can also be used to monitor pavement condition. In Namur, a municipal vehicle equipped with an imajbox® collected pavement and street-asset imagery to support inventory and pavement-condition monitoring.
YES. imajview® allows users to compare infrastructure surveys from different time periods. This makes it possible to analyze current imagery alongside previous surveys when monitoring network evolution.
YES. imajnet® provides online access to infrastructure imagery and data, while imajview® enables survey analysis from the office. In the Namur case study, access to imagery of the entire network was specifically used to assess conditions while reducing field visits.
YES. imajview® can export georeferenced point, line and polygon layers in formats including Shapefile, GeoPackage, KML and CSV. AI detection results can also be exported as CSV, KML, GeoPackage or Shapefile, or accessed through WFS.
YES. imajview® can create and use a Linear Referencing System, allowing users to work with linear coordinates as well as geographical coordinates. LRS data can also be published through the imajnet® web platform.
YES. imajview® provides photogrammetric measurement tools for features visible in imagery and supports measurements such as width, height, length and surface. The site describes these 3D measurements as having centimetric accuracy.
YES. The imajbox® 360 system is designed for simple vehicle installation and operation. The site states that it can be set up quickly, requires no cabling, can be operated by one person and can be remotely controlled from a smartphone.
10 questions
Virtual network visits, linear referencing, trackside asset inventories, digital twins and signalling projects.
YES. The railway solution is designed for virtual network visits, dynamic asset inventories, field-work monitoring, change detection, collaborative access and planning and budgeting. The objective is to provide field and office teams with reliable and regularly updated reference information.
YES. The imajbox® 3TX+ is designed for road, rail and waterway applications and supports a high-speed mode of up to 306 km/h according to its product page.
YES. Imajing tools support both geographical and linear coordinates. In the New York railway signalling case study, survey results were positioned in both systems, while imajview® also allows users to work directly in geographical or linear coordinates.
YES. The imajnet® LRS App provides real-time positioning in linear coordinates. If the user is not directly on the route, the app can provide the linear-reference value of the nearest part of the route together with its distance and direction.
YES. Imajing states that its railway AI models automatically detect and georeference trackside equipment in geographical and linear coordinates. These models are intended to support proactive monitoring and infrastructure inventory management.
YES. Imajing AI includes change detection for recurrent surveys. New or previously unknown equipment can be added as a new entity, while known equipment can be confirmed as present during each new survey.
YES. The SNCF Réseau case study lists uses including site preparation, pre- and post-work asset inventories, construction-site control, signalling-program planning, telecom studies, catenary studies, ETCS analysis and project preparation.
YES. The Transgabonais case study describes imajnet® as part of the railway digital twin being developed by SETRAG. Regularly updated network imagery is used for virtual track visits, maintenance optimization and decision support.
YES. The railway solution provides remote access to an updated digital representation of the network. Imajing states that access to this digitized network can limit the need for site visits, while the Transgabonais project also identifies field-visit reduction as one of its operational challenges.
YES. In New York, imajbox® surveys were used on the LIRR and Metro-North networks in a CBTC signalling-renewal project. The case study states that the surveys were used to map and measure railway equipment, distances, slopes and curves and contributed to the validation process described for the project.
10 questions
Municipal asset inventories, street-level imagery, GIS integration and published city case studies.
YES. The local-authorities page states that the imajbox® workflow is designed to be simple enough for members of the authority's own team to carry out surveys. A local engineering company equipped with Imajing technology can also perform the acquisition when outsourcing is preferred.
YES. Published use cases include pavement and street assets, parking spaces, streetlights, street-name plates, house numbers and public advertising. The Imajing AI page also presents automated models for public lighting, traffic lights, road signs, manholes, drains, gutters and road markings.
YES. The local-authorities solution is designed to provide current geospatial information about roads, streets and associated infrastructure for maintenance, engineering and GIS/CAD projects.
YES. imajnet® provides integration options through its SDK, ArcGIS Online widget and QGIS plugin, allowing survey imagery and network information to be accessed from existing GIS environments.
YES. The Namur case study reports that having imagery of the complete network enabled the municipality to assess road conditions more precisely while reducing field visits and continuing work from the office.
YES. In Marseille, more than 19,000 parking spaces were surveyed and digitized using Imajing solutions as part of a city parking-management project.
YES. Istanbul used Imajing technology to inventory and assess more than 60,000 streetlights. According to the case study, an imajbox® mounted on a vehicle surveyed 2,500 km of road network in 12 weeks, including night surveys to assess lamp operation.
YES. A published Imajing case study describes the use of imajbox® surveys to locate and digitize street-name plates and house numbers and associate additional attributes with them for urban addressing projects.
YES. An Argentina case study describes using Imajing technology to survey public advertising, digitize different advertisement types and calculate their dimensions and areas for local-tax management.
YES. imajnet® is designed to centralize infrastructure imagery and data online and share them with colleagues for collaborative infrastructure projects. Imajing also offers integration support when data needs to be shared between different departments of an organization.
12 questions
Production throughput, deliverables, point clouds, data models, client sharing, training and support.
YES. The engineering-companies page states that an imajbox® can survey hundreds of kilometres per day. It is presented as a rapid data-collection solution for inventory, mapping and inspection projects.
NO. The imajbox® is designed as a stand-alone, autocalibrated mobile mapping system. The engineering page specifically describes installation as simple and states that the system is auto calibrated.
YES. Using imajview®, visible assets can be inventoried, positioned, measured and characterized. The site gives examples including vertical and horizontal signage, pavement condition, parking spaces, streetlights, house numbers, trees and guardrails.
YES. Features created in imajview® can be associated with customizable GIS data models, allowing attributes and data structures to be adapted to individual project requirements.
YES. imajview® includes tools for creating and using Linear Referencing Systems and supports both linear and geographical coordinates.
YES. imajview® supports georeferenced planar and panoramic imagery from different mobile mapping systems as well as point-cloud formats including LAS, LAZ, COPC and E57.
YES. Imajing 3D Pro can calculate depth maps from imajbox® 3-series imagery and generate lidarless 3D point clouds from a single survey. The system uses image-processing techniques including feature tracking, visual odometry, correlation and depth-map fusion.
YES. imajview® can export georeferenced feature layers as Shapefile, GeoPackage, KML or CSV; trajectories as Shape, Shape Z, KML or CSV; Linear Referencing Systems; and survey imagery in JPEG format.
YES. The engineering-companies page identifies online sharing of surveys and data with clients as part of the Imajing workflow, providing continuity between data collection, production and project delivery.
YES. Imajing training is delivered by GIS professionals and covers imajbox®, data-collection structure, post-processing, imajview® and imajnet®. The initial training described on the site is a three-day session for one to five people and can be delivered on-site or remotely.
YES. Detection results can be reviewed online in imajnet® Gecko and completed or corrected before export. Final inventories can then be exported in CSV, KML, GeoPackage or Shapefile formats or accessed through WFS.
YES. Imajing provides IT, GIS and technical expertise for organizations integrating the toolchain into their processes, including workflow optimization and integration between mobile mapping, GIS and imajnet®.
Our team answers questions about mobile mapping projects, the Imajing toolchain and how it fits into your existing GIS workflow.
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