Portfolio

The FAST study has the objective to identify and preliminary define new or enhanced applications, leveraging satellite communications capabilities, for the public safety sector with a focus on the three main verticals: Law Enforcement, Fire Brigades and Emergency Services.

The MIS Global Events Observer (GEO) applies accurate, real time intelligence of space-based and ground sensor data to teams working across the insurance cycle.  GEO offers unique opportunities for businesses to make informed decisions when selecting, pricing, monitoring, mitigating and assessing risks, and seeks to drive technology into traditional workflows to enhance policyholder service and deliver cost savings and time efficiencies.

The Beeline Cycle Routing project involves creating a routing engine and underlying mapping data to mimic human intelligence in route selection for cyclists. Traditional routing engines simply optimize for shortest distance or time. Beeline’s solution is intended to allow for optimization for safety, pleasantness, quietness of route and other parameters important to cyclists.

With rapidly growing wildfire disasters in Europe and worldwide, we see an increasing need for new technologies and applications to better monitor these fires. OroraTech is developing an innovative all-in-one global wildfire detection, alerting and monitoring service from space.

Loss of water through damaged pipes is one of the biggest problems in the global distribution of drinking water. To make leak detection easier, we sell our customers a T.O.M.-System for use by own specialist staff or offer a qualified service for leak detection through Turn-off metering. Necessary information about the pipe network is documented in an online portal.

Crop Mycotoxin Management (CMM) offers a service for an efficient management of mycotoxin contamination in wheat production. Satellite-based earth-observation data are derived to crop information and combined with terrestrial data sources to assess the infield disease risk during vegetative growth and the risk of mycotoxin accumulation at harvest. Such information support farmers in site-specific scouting activities, variable-rate applications of fungicides and selective harvesting to exclude mycotoxin contaminated grains. Furthermore, the service provides information on the regional yield in terms of quality level of wheat.

The aim of the project is to give MPAs (Marine Protected Areas), National Research Institutes, NGO and as well as marine operators access to advanced technologies as artificial intelligence (AI), robotics and space technologies, that could help, favourite and accelerate marine conservation. 

Specifically, the project will allow the data mining of coastal marine habitats through embedded AI on satNav localized underwater explorer-class drones and surface vessels whose autonomous survey are optimized by cloud AI and Earth Observations (EO), creating web dashboards for MPAs to access all the marine habitats data, trends and alerts, and share them all within their community.

In the SEDDCR project, space-enabled delivery drones were used to assist the National Health Service (NHS) in rural Scotland in the fight against COVID-19. The delivery drones carried critical COVID-19 pathology tests and related medicine between hospitals and medical practices, ensuring that the NHS had access to a fast, frequent and reliable medical logistics system.

PREMUSOS uses GNSS and EO imagery in order to identify the best locations in which to place environmental sensors that detect phenomena such as flooding, to accurately place those sensors as they are installed; and to use current EO data to enhance maintenance procedures.

Providing continuous updates on hydro reservoir filling levels by means of Earth Observation data & machine learning to improve power price forecasting, production planning and market analysis and energy trading.

SEIA is a solution supporting distribution network operators to perform faster, safer, more accurate and ecologically friendly asset monitoring and assessments. Our algorithm leverages state-of-the-art technological advances in machine learning to automate the monotonous and repetitive aspects of condition estimation of energy transmission network towers. This allows cost-effective funding decisions based on automated analysis of assets’ condition in aerial photography. 

SMRC intends to create a school map in rural communities with the help of satellite data, applying computer vision to earth observation data.

Using civil aircraft as a platform to collect AIS data, complementing existing terrestrial and satellite solutions, enhancing AIS data availability.

4S Safety of Future Transport is a study undertaken within the frame of the 4S Strategic Programme Line that aims at identifying a list of applications that will use highly innovative and secure  Satellite Communication systems to support safety critical services within the transportation industry (Aviation, Maritime and Railway). 

360blue is an information and software suite to determine water related risks, support optimization of water management, and asses water replenishment activities.

4D Urban Insights creates maps of fast growing areas and makes urban dynamics visible and actionable. By applying Machine Learning, changes in horizontal and vertical spread can be detected automatically and early warnings can be shown to users.

ADVISER (AugmenteD VIrtual reality SErvice for Renewable energy) aims to empower Decision Support satellite and UAVs based i-EM SAT services combined with mixed reality capabilities to provide support for the Planning & Construction and the Operation & Maintenance of renewable energy power plants: VR-AR technologies, coupled with the utilization of space assets, could empower O&M activities, in terms of cost savings, effectiveness of the interventions and safety.

3DE is a Platform-as-a-Service (PaaS) solution targeted at the energy sector that facilitates the management of geospatial data for Right of Way Management and Asset Inspection. Using remote sensing technologies (satellite, aircraft, and drones) combined with machine learning techniques, 3DE improves predictive maintenance work practices, increases the safety of operational personnel, and reduces Operations and Maintenance (O&M) costs.

The project “3TIMS” focuses on the on-board monitoring of the completeness of freight trains, because the lack of electrical power supply at its wagons prevented a safe solution so far. 3TIMS involves rail stakeholders and investigates fusion of three technologies (GNSS, IMU, Brake Pipe monitoring), plus M2M radio link, to establish the design and consolidating it by a proof-of-concept analysis.