WILDFIRE SENSOR

Solar-powered sensors with embedded AI deliver ultra-early wildfire detection by analyzing gases and environmental conditions.
Their lightweight, weatherproof design ensures reliable operation in remote forests, creating a resilient IoT mesh network via LoRaWAN.
By enabling faster response times and proactive forest management, they help protect forests and reduce wildfire impacts.

MESH GATEWAY

Scalable, distributed LoRaWAN gateways enable integration with various compliant sensors for advanced monitoring.
Supports large-scale, multi-party sensor networks tailored to diverse forest environments.
Optimized for dense sensor deployments, ensuring seamless communication across challenging terrains.

BORDER GATEWAY

Enables 24/7 communication with the Cloud Platform for continuous wildfire detection and forest health monitoring.
Connectivity via LTE radio (LTE-M/NB-IoT with 2G fallback), Ethernet, or satellite (Europe and North America).
Powered by mains or solar panels for reliable operation in remote areas.

CLOUD PLATFORM

Cloud-based platform delivers powerful tools for real-time wildfire detection, analytics, and forest monitoring.
Enables optimal deployment planning, multi-site management, and risk assessment with a user-friendly interface.
Supports advanced analytics and visualizations for proactive decision-making and risk mitigation.

USE CASES

Dryad's technology offers a wide range of use cases and delivers significant value across various sectors:
- government public sector municipalities
- firefighting disaster response
- utility and grid rail infrastructure, etc.

More about Dryad and their solution: https://www.dryad.net.