GIS & BI
What is a GIS?
A geographic information system (GIS) is a tool for collecting, storing, analysing and visualising geographic data. It allows data to be represented in the form of interactive maps, making it easier to understand and take decisions.
The value of GIS is that it allows geographic data to be manipulated more efficiently and accurately than a traditional map. Data can be analysed in a variety of ways, which can help decision-makers understand spatial relationships and trends in geographic data. GIS can be used in many fields, such as urban planning, environment, transport planning, natural resource management, urban design, security and many others.
The difference between a GIS and a map?
A map is a visual representation of geographic information, while a GIS is a computer system that collects, stores and analyses this information. In other words, a map is an end product that can be created from the data stored in a GIS. A map can be used to visualise geographical information, but it does not allow for the same flexibility and analysis possibilities than GIS.
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Field data acquisition (laser, drone, mobile mapping, etc.)
Collection, transformation and correction of geodata
Geocoding, geolocation, creation of custom geocoders
Modelling of geodatabases in 2D, 3D, real time, historical, bigdata, etc.
# Governance, Cataloguing, Metadata, Data Protection and Security
GIS platform management
Consultancy, design and GIS architecture
Assistance with the integration of proprietary and open source GIS platform applications
Native functionalities configuration
GIS training and support
GIS and corporate IS connection
# ArcGIS Enterprise, GeoServer, geodatabase, Postgis, QGis, Google Maps, SuperMap, etc.
GIS application development
Scripting of geographic data and image processing
Development of customised integrated tools
Integration of GIS components into enterprise applications and IS
Web, mobile and desktop application development
Creation of 2D/3D thematic maps
Digitisation and vectorisation of paper maps
Acquisition and production of orthoimages
# Mapservice, geoservice, wmts, wfs, geocoder, web and mobile map, paper map, etc.
Process and Business Analysis
Analysis and improvement of company geographic data life cycles
Integration of geographic data and mapping into business processes
Optimising business processes with geodata and spatial functions
Design of reporting and dashboard to support decision process
# Data flow, data life cycle, workflow, business processes, digitisation, organisation, etc.
Computer Vision & Artificial Intelligence
Using geo-referenced aerial video
Drone systems or other means of taking video from the air should focus on the operational purpose and use.
In most contexts, video alone is not sufficient. Its use in a geographical context is essential.
- Use sensor information to locate the video.
- Integrate value-added processing to project, contextualise and augment the video.
- Retrieve metadata, georeference and integrate processing without interrupting the video stream and with minimal latency.
Your video sensors are insufficient to provide the necessary metadata? We advise and provide them if needed!
Some examples of achievements
These developments make it possible to integrate geographical data into the video stream for viewing on the ground or directly in flight.
- Displaying geographical markers to help analyse the videos
- Sharing geo-referenced objectives between tactical situation keeping and video analysis
- Automatically hide geo-defined regions
These developments make it possible to produce orthoimages in real time during the flight and to visualise them right up to the operational stations on the ground.
- Bringing fresh images into the map view as quickly as possible
- Quickly take the measure of a crisis situation (flooding, fire, etc.)
These developments allow vehicles to be detected and tracked from fixed or mobile cameras.
- Detecting and tracking vehicles
- Measuring speeds
- Detecting intrusions in a defined area
These developments allow objects to be detected and tracked in real time or in post-processing.
Hanging a target or visual cue
- Driving optronics to keep a target in the field
- Flying a drone to track a target autonomously
Recognition and data collection
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