ARTURO will provide a solution to fulfil future operational needs based on extended use of emerging technologies for advanced radar technologies in Europe. Falconers focus on low signal-to-noise ratio tasks with EO SAR data
Falconers is a proud contributor to SPIDER - a feasibility study addressing developments of multi-mission affordable satellites constellations dedicated to space-based Intelligence/Surveillance/Reconnaissance (ISR) for defence use-cases compatible with national and EU initiatives. The project ambition is to provide high reactivity, including autonomous re-tasking, short revisit periods and short end-to-end system latency.
Falconers is taking part in STORE - optimizing AI-based integrated image recognition systems and developing a shared European database on annotated defence images. STORE aims at tackling two critical challenges for the European defence community: the optimal development and benchmark of AI-based integrated image recognition systems, and the creation a shared European database on annotated defence images. STORE will offer short and medium-term keys to detect and recognize new threats and to counter their evolution.
European Space Agency (ESA) Business incubator (BIC) is a startup accelerator for space themed startup ideas. Falconers was admitted to the accelerator with the project FORSAIT (FOrest Remote Sensing AI Twin).The project lasted from June 2022 to June 2024. FORSAIT is a Earth observation and data fusion project where a map application was developed to fuse Sentinel-1 and Sentinel-2 data creating intelligence to visualize forest health, assess forest mass damages and predict wildfires in Estonia. In the next development phases we are seeking to improve the wildfire prediction algorithms with machine learning and adding additional data layers. The product has been presented to Estonian rescue board, private forest owners and the State Forest Management Centre (RMK) who were interested in integrating the end-product into their operations.
During the ”Kõõrdsilm” project we developed a stereo vision system capable of fast and automatic calibration using machine vision techniques. A stereo vision system determines the position of objects in 3-dimensional space by determining their position on each of the camera feeds and using knowledge of the relative distance and direction of the cameras. We used the ORB algorithm to find features from objects on the image and then the RANSAC algorithm to match the features from the two images to determine the distance and direction of the objects.
HawkEye is a project partly funded by the Estonian MoD, for the development of a "multi-spectral imaging device to enhance enemy detection and targeting."
KIK-FORSAIT is a project funded by the Estonian Environmental Investment Centre (KIK), which focuses on developing wildfire simulation algorithms and fire threat intelligence functionalities within Falconers' multi-layered remote surveillance system FORSAIT. In the project, Falconers is partnered with the Tanzania Forestry Research Institute TAFORI. KIK-FORSAIT is a continuation of ESA BIC, where Falconers developed FORSAIT (FOrest Remote Sensing AI Twin), a system integrating Sentinel-1 and Sentinel-2 data for forest monitoring. The project started in July 2024 and will conclude in July 2026.
Falconers is a proud member of the Defence Business Lab 2025 accelerator for dual-use technologies that strengthen national security and drive technological advancement.
Falconers is consortium leader in EDA OB-Study INOPTECH, which is focused on SoA research, proof-of-concept level test and validation of new EO sensors and enhanced visualization technologies. LOT1 MEFREGRA, studying technologies for high performance compact cameras with specific focus on Metalenses, freeform and gradient index optics, was finalised in Brussels on 29.04.2025. LOT2 DRIT POLARIM, studying active and passive polarimetric imaging for high performance DRIT in a complex background and a degraded visual environment, was kicked off in Brussels on 28.04.2025.
