Portfolio

The 5G-assisted Maritime Autonomous Surface Ship (5G MASS) focuses on the domain of assisted and autonomous shipping in the proximity of seaports. The purpose of the project was to develop a system (5G MASS namely) and implement a set of functional blocks, shared between the ship and the port digital environment where a prototype of Remote Operation Center is deployed. Thanks to the terrestrial 5G millimetre-wave network, the 5G MASS system aggregates real-time information shared between the shipboard and the Remote Operation Center with the aim to assist the pilot and the bridge team in the berthing operations.

Inteliports develops autonomous, heavy lift drones and drone ports for the future of aerial logistics. The PORTAL project is seeking to trial demonstration of multimodal, collaborative logistics involving unmanned, aerial drones and micromobility with advanced robotics, automated infrastructure and SATCOMS enabled technologies. The project is a collaboration between Inteliports and Vodafone. 

The ANESI kickstart introduces a trustworthy service for aerial inspections to manage, optimize, and maintain solar parks. By using autonomous navigation based on computer vision and precisely detecting anomalies through thermal images, operational inspection and processing time is considerably reduced. The increase in efficiency of Unmanned Aerial Systems (UAS) flights and data handling have a great impact on the energy generated, reducing costs and boosting customer profits, while reducing CO2 emissions.

GreenerCotton services support the implementation, certification, and transparency of sustainable cotton standards with satellite enabled technology. GreenerCotton is targeting two main use cases: 1. Supporting standardisation companies in implementation and certification 2. Supporting extension services (field advisory) to implement standards and improve production.

The aim of PLATIN is to develop a satcom-enabled platform to support flight operations in real-time (aircraft manufacturers’ flight tests, science flights, UAV surveillance flights). This service is a major evolution of the already existing PLANET service. Innovations in PLATIN are focusing on the integration of a new generation of Satcom (Iridium Certus) allowing new applicative services such as video/high-resolution images transmission or bulk telemetry thanks to higher throughputs.

The AC-DC project focuses on applying various types and techniques of GNSS combinations, including the new Galileo High Accuracy Service (HAS), in operational scenarios to improve the performance and reliability of a dynamic high-accuracy positioning service and reduce separation distancing in and around air/vertiports and logistical nodes that could be considered congested areas.

The Satellite Data Freight Calculator (SDFC) project aims to significantly innovate the dry bulk shipping industry by developing an advanced freight pricing tool combining market prices with carbon emissions. This service integrates AIS Satellite data with deep learning algorithms to predict ocean freight prices accurately and in near real-time.

Wastewater market intelligence company Klarifi has conducted a Kick-start activity to do Wastewater Structure Detection from Satellite Imagery (WSDSI). By accurately mapping the structures at 100,000+ wastewater facilities, we will provide highly valuable data to our clients and gain a unique competitive edge in the wastewater market intelligence space.

Firemapper delivers real-time, high-resolution and cost-efficient wildfire mapping and analytics, leveraging space assets for enhanced crisis response and mitigation of CO2 emissions and environmental fallout.

VertiRapid is a cutting-edge service designed to facilitate safe and efficient flight operations around vertiports (vertical landing/starting areas) for drones and Vertical Take Off and Landing aircraft. Leveraging available geodata and verified with Earth Observation (EO) techniques, VertiRapid swiftly determines operational parameters crucial for safe flight, aligning with ISO/DIS 5491 standards and European Aviation Safety Agency guidelines.

Our cities have more paved land than lawns, and although the lawns have spurred an exponentially growing market for robotic lawnmowers, no similar robotics solution exists for autonomous maintenance of paved areas. O-Robotics has a mission to develop the AMR-Sweeper, a multipurpose Autonomous Mobile Robot (AMR) to sustainably address the maintenance needs of paved areas in our cities.

Space4LevelCrossing is a feasibility study of technical and commercial viability of innovative solutions based on use of satellite data in combination with the train on-board environment perception system for improving safety of Level Crossings.

Having already created a groundbreaking drone delivery solution that combines proprietary drone technology with a user-friendly mobile application, Linking Drones are now looking to expand their service offering by allowing offline satellite imagery maps, providing live telemetry from the drone, and enabling the use of third-party drones via our easy-to-use mobile app.

The project evaluates how 3D models of underwater assets produced for inspection and maintenance purposes can be enhanced by using satellite-based position technologies to improve the accuracy of the models themselves as well as position them in the global coordinate system. It also evaluates scan data transfer to the cloud, from remote locations, using satellite communication technology.

Gain Unmatched Insights into Radar System Types and Locations: RUMORE provides intelligence on ground radio transmitters, including their key parameters, by analysing Synthetic Aperture Radar (SAR) images operating in the same band as the transmitters. The Pulse Descriptor Words (carrier frequency, bandwidth, duration, modulation type, Pulse Repetition Frequency, Polarization, TOA, DOA), are used to identify and expand transmitter type databases.

MASAI is a web platform designed to support national and international organisations that intervene in emergency situations (humanitarian crises due to war and natural disasters). This web platform uses automated Artificial Intelligence algorithms applied to VHR and SAR images to identify damage to buildings and infrastructures, estimating the extent of economic damage and affected population; Ukraine is the use case.

RASFarm is a collaborative robot system exploiting the integration of mechanical technologies, artificial intelligence and satellite navigation to autonomously carry out different agricultural operations (plants and fruits monitoring, spraying and picking).

The SenseBOAT Offshore USV System offer a versatile method for autonomous monitoring of water quality and biodiversity at open sea. Equipped with optical, visual and acoustic sensors the solution offers offshore industries a precision method for year long monitoring of marine nature at wind farms, floating solar farms and aquaculture production at open sea. 

How do you target advertising to maximize customer reach and minimize costs? Where do target customers stay, live and work? What locations should be the focus of digital and physical advertisement campaigns?

BeSpatial.AI helps businesses in financial services and other industries to boost their ads performance with customer trained machine learning model (HolistiCRM).

Training is done based on internal datasets, EO (ESA) and GIS data (GeoX). In our first use-case machine learning model accuracy reached 91%.

Machine Learning supported targeting ROI 1127% thanks to lower CPC and higher conversion rates targeting the right (potential customer dense) locations.

The SOCMO project aims to develop and validate a service to provide soil health information using Earth Observation data to monitor Soil Organic Carbon (SOC) of lands and crops. The final objective is to develop an easy-to-use and competitive framework for land restoration initiatives to keep track of the changes in SOC.