Reducing the risk of bird strikes using satellite images and Ascend’s Normalised Difference Water index software (...
LATEST PROJECTS
BROWSE PROJECTS
Based on user needs and industry skills, the evolution of customized solutions and the establishment of innovative services is accomplished through project activities. Focusing on various thematic areas, relevant information on the project activities is provided below.
HumaNav-Next
Status date: 17 February 2021
HumaNav Next demo project addresses the Aid & Development community’s urgent need to increase the security of humanitarian missions. It will develop a fully integrated and reliable vehicle on-board solution, providing:• Geo-location, fleet monitoring, management and security• Telecommunications: voice, messaging and dataThe solution will provide seamless world-wide coverage and full service regardless of the lack of any local infrastructure, by using Iridium satcom and GNSS location. It will be adapted to humanitarian vehicles deployed in field missions in underdeveloped regions and conflict areas. All services will be available while driving.
HeraSpace IUU
Status date: 17 February 2021
HeraSpace IUU helps the identification of illegal unreported and unregulated fishing supporting EU legislation and environmental protection.
DARTT
Status date: 15 February 2021
DARTT is a demand-responsive transport solution to improve the viability of public transport in rural areas, focussing on a tourism target audience. It combines a new experience for discovering tourism destinations, with booking bus tickets in rural areas.
MEANDAIR
Status date: 15 February 2021
Meandair provides pilots with relevant weather data. Before flight, a plan can be registered in the application and the necessary weather information will be downloaded. By pushing the flight button, just before take-off, the Meandair weather information travels along with pilots! Updates of the latest weather can be also downloaded during flight using the SATCOM communication devices. The weather data are also available to 3rd party application developers, behind easy to use programming interface.
‘feed from the field’
Status date: 15 February 2021
At the moment, the ‘feed from the field’ is an emerging technology that takes live content from entertainment and sports sources and publishes it worldwide to mobile phones. The technology ensures the availability of the content to the user with minimum delay from the time the content is available to it being on the user’s smart device. This process is manual and requires operator intervention.
EOLO
Status date: 12 February 2021
EOLO aims to provide the corn growers an agritech cloud-based platform which allows to save water and energy by predicting the optimal water needs, monitor crop health through the use of vegetational indexes and control the irrigation system remotely. These features are implemented by leveraging both Earth Observation and on-ground sensors data and by fusing them with machine learning algorithms.
SPACE EDU PARK
Status date: 10 February 2021
Digital and gamified learning environment to provide support to Science teachers in Italian lower secondary schools through use of multimedia content enhanced by EO data and AR/VR experiences.
OGOR YIELD
Status date: 09 February 2021
OGOR YIELD estimates the maize yield at different levels: field, farm, county, region, country, for all agricultural seasons, starting with 2017. Knowing the yield at field level allows to decrease input costs, to optimize logistic and storage costs and ultimately to increase farmers profit.
VisionV
Status date: 09 February 2021
VisionV integrates a combination of data provided by the end-user (spatial and non-spatial) and data derived from space-borne assets (VHR optical, elevation, structural health) to create new AR/VR visualisation capabilities in the context of:Situational awareness for Critical National Infrastructure (CNI) asset managementSearch & Rescue
SatADAPT
Status date: 09 February 2021
The SatADAPT solution consists of wireless vibration sensors which transmit vibration data from the equipment being monitored to a Gateway that runs a local Artificial Intelligence engine (edge AI). The Edge AI is in turn synchronized with a centralized AI engine which is part of a cloud based Central Management System or CMS. The edge AI engine analyses the data looking for anomalies in the frequency spectrum and warns of potential failures, along with a classification of the expected defects and estimated time left to occurrence.