Embedded AI solutions for real-time environmental monitoring
AzurİA develops embedded AI-based detection and alert systems.
Eco-designed and manufactured in France, our solutions analyse data directly at the edge to protect the environment and people.
Enhance system autonomy and improve operational responsiveness with embedded AI.
Powered by embedded AI and advanced sensors, your systems automatically detect events and provide real-time alerts wherever you are.
This enables you to make the right decisions in real time and adapt the use of the solution based on operational priorities and evolving risks.
Deeptech for a living planet
With climate change accelerating and natural risks increasing, it is becoming essential to rely on solutions that can respond quickly and effectively on the ground.
AzurİA’s mission is to put deeptech to work for the planet by developing useful, measured and responsible technological solutions. We carefully assess the benefits of our systems while also taking their environmental and societal impacts into account, notably through a Life Cycle Assessment.
Solutions tailored to your needs.
Embedded Aİ
Developed in-house, our embedded AI processes multispectral imagery at the edge, as close to the sensors as possible.
Trainable for a wide range of use cases with minimal data, it can be deployed on low-power systems and enables real-time detection of events of interest, delivering greater autonomy and responsiveness to your solutions.
CamİA
CamiA is our real-time detection and alert unit, compatible with multiple platforms (fixed mast, drones, Helia, etc.).
Trainable across a range of application domains, it integrates multispectral sensors (visible and infrared) and is built on European components that are fully repairable and upgradeable.
Helia
Helia is our tethered aerostat, deployable in any open area accessible by vehicle.
Operating autonomously 24/7 and capable of withstanding winds of up to 60 km/h, it provides real-time day-and-night monitoring across several hundred square kilometers.
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