Précurseurs en Edge Computing
Since AzurİA was founded in 2021, we've been committed to pushing the boundaries of innovation by creating smart, eco-responsible solutions.
Our expertise in artificial intelligence and bold vision have positioned us as pioneers in near-sensor processing, with a first successful research project deploying Aİ on a nanosat led by our founders in 2019.
Since AzurİA was founded in 2021, we've been committed to pushing the boundaries of innovation by creating smart, eco-responsible solutions.
Our expertise in artificial intelligence and bold vision have positioned us as pioneers in near-sensor processing, with a first successful research project deploying Aİ on a nanosat led by our founders in 2019.
Edge Computing
Image processing is deployed close to the sensors, extracting useful information from the source and transmitting only useful data.
Eco-designed
We achieve this with low power consumption and in a small volume capable of dissipating the energy consumed.
Frugal
With very few labeled images, our Aİ can adapt to a new use case or detection class.
Multispectral
Addition of spectral bands useful for the specific application, significantly increases performance compared to RGB/visible.
Systemic approach
Evaluated not only on Aİ metrics but also on higher-level system constraints such as inference time and overall consumption.
Agnostic
Our Aİ adapts to the number of input spectral bands, being able to infer images from different types of sensors in both the visible and infrared spectrum.
Eco-responsible and ethical by design
Dataset selection
If we test external datasets, we make sure to check their origin and associated licenses.
Aİ training
The semi-automatic annotation of our images is verified by our in-house data scientists, and training is then carried out on the GPUs integrated into our local server, with continuous measurement of power consumption to keep our carbon footprint under control.
Solutions utilisation
Images are inferred in real time close to the sensors on low-power boards, and only the alert containing the thumbnail image of the detection of interest is sent in real time to the end user, respecting RGPD by design and reducing carbon impact by transmitting only useful information and not a video stream with a need for energy-intensive storage and processing.
Frédéric FERESIN
-
University degree (DEUG S) before entering an engineering school (Polytech Orléans).
-
30 years of engineering and project management in major space industry groups, from phase A to phase E.
-
Set-up in 2018 then management of the IRT project “Chaîne Image Autonome et Réactive” (CIAR) with Aİ embedded on NanoSat and terrestrial drone.
Lionel Daniel
-
4 years of research in probabilistic logic and biometrics.
-
6 years of software engineering in the field of space cameras, optical payload test benches and in-flight calibration software.
-
3 years of architecture in Aİ on the CIAR project.
-
Integration of the PACA Est Incubator
-
i-Lab national pre-selection validates the concept
-
AzurIA created on the basis of strong values enshrined in its articles of association and the rules of the Social and Solidarity Economy
-
French Tech Emergence grant to develop our in-house Aİ multi-spectral frugal solution
-
Confiance.ai winner (French Grand Défi project) for Aİ deployed on low-energy targets
-
Winner of the European SecurIT call for projects to develop a tethered aerostat embedding a real-time detection and alert system
-
"AI Talent” selection in the European BonsApps project
-
RAPID signature for Aİ integration on observation satellite constellation
-
Selected for a live demonstration during the i-Naval event for detecting events at sea
-
Crédit Agricole Innovation trophee
-
Hi France label
-
Real-life demonstration of Helia for forest fire detection
-
AMO phase 1 architecture protection of the Sologne forest (SDIS 18/41/45)
-
AMO phase 2 deployment protection of the Sologne forest (SDIS 18/41/45)
-
SME Trophy for the most initiatives in favor of ecological and CSR transition
-
Lauréat du Projet EcoNum dans le cadre France2030 pour notre boîtier éco-conçu
-
Label Régional : Intelligence Economique
-
Solution dans le Département du 06 pour la détection de feux de forêt
-
Solution à bord de l'Ocean Viking de SOS Méditerranée pour la détection de naufragés (bateaux, personnes)
-
Solution en Thaïlande pour la détection de feux de foret
-
Solutions dans le Département de la Loire pour la détection de feux de foret et de déchetterie sauvage
-
Lancement de la levée de fonds
Ils nous soutiennent
