Geointelligence Systems was created at the end of 2015 with the initial objective of offering services based on geointelligence, studying the human activity derived from the exploitation and analysis of terrestrial observation in all its areas, especially from remote sensing and Aerial Vehicles.
The objective of Geointelligence Systems is to offer a complete flow in the hierarchy of geospatial knowledge, ensuring the correct data collection, its organization and processing in the form of information, the analysis of this to obtain knowledge and the application of Artificial Intelligence algorithms for its transformation into wisdom, thus drawing conclusions that facilitate the discernment of reality.
This theoretical approach is reflected in several projects in which Geointelligence Systems has participated in its three years of life. All these projects have had the support of data capture the technology of Unmanned Aerial Vehicles, an area in which Geointelligence Systems has specialized
Experience is a hard teacher because she gives the test first,
the lesson afterward.
Development of a Command and Control System for Unmanned Aerial Vehicles: Geointelligence has been responsible for the technical management of the development of said software, which has been acquired by the General Directorate of Armament and Material (DGAM, Ministry of Defense) under the RAPAZ project. This system operates with the GEODRONE platform (www.conyca.es) and is specialized in data collection for cartographic purposes. It is currently being used by the Geographical Center of the Army (CEGET) and by the Cartographic and Photographic Center of the Air Force (CECAF).
Technical direction of the Full Map Drone Solution project. Project developed by the company SRM Consulting (www.srmconsulting.es) that has an economic endowment of € 400,000, co-financed by the CDTI. The objective of this project is to offer the market a complete solution, based on a service, for obtaining and processing information derived from the different sensors that an Unmanned Aerial Vehicle can carry
Technical direction for the development of the project software "Recruitment of solutions, of a service of acquisition, maintenance and automation of topographic and cartographic bases by unmanned aerial means, TIERRA-2". This project is part of the "Civil UAVs Initiative", a strategic initiative of the Xunta de Galicia, aimed at improving efficiency in a wide range of services and activities carried out by the Galician public sector, through the use of aircraft and unmanned marine vehicles. One of the main objectives of the project is to provide the administration with algorithms based on Artificial Intelligence for the analysis of the images obtained by the same drones in order to automatically detect changes in the Galician landscape, and thus correctly apply territorial policies. This initiative has a budget that exceeds 150 million Euros. In particular Land 2 It has an approximate budget of two million Euros
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement nª 867732
In 2017, 335 natural disasters affected over 95.6Mill people, killing 9,697 and caused over €300bn in losses . Several regional and global emergency mechanisms exist to support disaster management, but they lack efficiency due to the unstructured existing management systems: unable to process information in real-time and to provide accurate tools for critical decision making based on objective information.
DRONECOP is the first integral general operation system for managing missions for combating natural disasters able to process data captured by a drone (video, photogrammetry) in real-time and automatically generate 3D cartography and georeferenced targets. DRONECOP is formed by: fixed wing drone, ground station, software with real-time data processing and Users and Project Management system. DRONECOP is an integral (software and hardware), fast (real-time data processing), accurate (<2cm of mapping error flying at 80km/h), and cost effective (1/3 of competing solutions) control and command system for managing natural disasters operations.