Portfolio

RESIST provides worldwide coverage for detecting GNSS Spoofers and Jammers anywhere over the Earth’s surface. The system relies on the CMCU, Central Machine learning Computation Unit and ground and space recorded data.

Intelligent geospatial vegetation management service

VARESAS is a solution to support rescue teams during crises. With the usage of data integration from many sources and the integrated Augmented Reality, Artificial Intelligence and Machine Learning functionalities, teams are able to manage and organize rescue operations more effectively.

DigiFarm develops deep neural network models for automatically detecting the highest accurate field boundaries and seeded acres worldwide, through our model for deeply resolving Sentinel-2 from 10m to 1m resolution. This reduces both the cost and time of current manual digitisation by over 95%.

FARMEX” is the adapted version of the original Farmstar service, developed and operated in France by Airbus since 2005. As the leading Precision Agriculture service based on EO in France, Farmstar helps farmers in optimizing the nitrogen inputs in their fields, not only to comply with regulations but also to steamline their operating costs.
 

For the detections of water leaks, Earth-Observation can play a fundamental role. By boarding on General Aviation Aircrafts Thermographic, Optical and Synthetic Aperture Radars sensor, and crossing their high-resolution outcomes with satellite interferometric data analyses, sub-surface phenomena may be investigated, understanding how water distributes across the networks of urban environments allowing to potentially address water losses location.

The INVENTA Demo Project implements innovative services able to increase the fruition, accessibility and sustainability of historical/cultural sites through the integration of Virtual & Augmented Reality with Satellite Navigation and Earth Observation. The service will be based on an innovative mobile App leveraging SatCom technologies and the 5G network.

The INVENTA project intends to carry out the feasibility study of an innovative service able to increase the fruition, accessibility and sustainability of historical/cultural sites through the integration of Virtual & Augmented Reality with Satellite Navigation and Earth Observation. The service will be based on an innovative mobile App using 5G network. 

The consortium provides a web-based platform that allows users to get actionable property level flood hazard insights at “the push of a button” combining existing flood data, meteorological data and archived as well as current satellite images. The service is accessible to non-experts, providing flood hazard maps and alerts tailored to the needs of the clients in the real estate domain, and can be scaled to wide geographical areas.

GridEyeS supports electricity transmission and distribution by providing situational awareness regarding vegetation near power lines faster, cheaper, and with less CO2 footprint through Space-level Artificial Intelligence. It leads to safer and more reliable operation of the electric grid.

GridEyeS AI service contextualizes satellite, weather, drone and other operational data at scale, enabling fast and frequent monitoring of power lines at a fraction of the cost.

SmartCane helps sugarcane estates and farmers in Mozambique boost productivity and crop yields through remote sensing derived crop and management advice sent via SMS messages and phone-friendly pdf maps. These messages address actionable advice and support in decision-making and resource management, promoting sustainable practices and problem-solving within cooperatives. Estates and farmers can now make informed decisions based on real-time data for maximum impact.

EARTHSCAN is a Real-Time Healthcare System (RTHS) for detecting and diagnosing polyps during colonoscopy using cloud computing accessed via satellites.

PSVE (Port Stockpile Volume Estimation) is a product DBX is developing within the ESA BASS programme; the PSVE module aims to collect and harmonise global, highly fragmented, dry-bulk commodities data in near real-time, by applying state of the art machine learning classification algorithms and establishing a strong correlation between market trends and the localization of dry bulk stockpiles.

UpGreen helps cities to realize more effective urban green policies. It is based on actionable insights on the actual and future state of urban green as well as on the greenery vision model proposition, enabling strategic decision-making, and identification of the most effective urban green projects and policies.

Autonomous driving requires precise and reliable position information. ANavS develops in the project MUSE an Integrated Sensor Platform (ISP) which includes 3 GNSS receivers, an IMU, two cameras, a Lidar and a powerful sensor fusion for precise positioning.

SmartMetRoadMap is focused on updating a platform dedicated to the provision of tailored services for the operational management of meteorological risks on roads.

The updated platform is based on an AI-driven fusion of high-resolution NWP output and heterogeneous measurements captured in real-time, possibly also via 5G, and is specifically designed to make the most of satellite weather monitoring data.