Mesh network. Solar powered. Works when cell towers burn.
Detailed technical information about our autonomous wildfire detection infrastructure
We're developing modular sensor networks using proven components that will evolve into custom hardware. Currently testing ESP32-based prototypes with environmental sensors—the same development path taken by every successful infrastructure technology.
Functional sensor prototypes measuring real environmental data
Mesh networking protocols in testing
Edge computing architecture design
Integration pathways for emergency systems
Custom PCB design and fabrication
Ruggedized enclosures for field deployment
Extended field testing with partners
Certification and compliance processes
This is how real hardware develops—from functional prototypes to custom silicon, iteratively and carefully.
A deep dive into the Guardian stake's modular architecture and cutting-edge sensor fusion
Guardian stakes operate through a sophisticated three-tier intelligence architecture that combines edge computing, cloud-based algorithms, and AI-driven anomaly detection to deliver rapid, accurate wildfire risk assessment.
At the hardware level, each ESP32-powered stake samples multiple environmental sensors hourly, with simulated event detection for immediate threats. Raw sensor data from BME280 environmental sensors, soil moisture probes, and TSL2591 light detectors is filtered and normalized using top-down API calls that aggregate readings across the mesh network.
The processed data flows to our cloud-based analytics engine, where machine learning algorithms analyze multi-dimensional sensor patterns, environmental trends, and historical fire data. When anomalies are detected, the system automatically triggers calls to a specialized backend agent that performs qualitative risk assessment using contextual environmental data, weather patterns, and regional fire behavior models.
The result: A self-learning network that reduces false positives by 90% while delivering actionable intelligence within minutes, not hours.
Wi-Fi/Bluetooth enabled MCU with dual-core processing
Precision temperature, humidity & pressure monitoring
High-capacity rechargeable power cell
Multiple mini panels for continuous power
Multi-depth soil condition monitoring
Visual & thermal imaging surveillance system - our first line of defense
Building infrastructure right requires methodical development. Our multi-year roadmap follows industry-standard hardware progression:
Prototype validation with modular components
Testing functional prototypes built with industry-standard components (ESP32, BME280 sensors, LoRaWAN). Validating core detection algorithms and mesh networking protocols in controlled environments.
Custom PCB development and field testing
Design and fabricate custom printed circuit boards optimized for our specific requirements. Extensive field testing in real wildfire-prone environments with partner organizations.
Partnership deployments and certification processes
Deploy partnership installations with fire districts and utility partners. Navigate regulatory approval processes and obtain necessary certifications for critical infrastructure deployment.
Production scaling and deployment
Scale manufacturing operations and begin wide-scale deployment across high-risk regions. Establish recurring revenue streams through monitoring services and system maintenance.
This timeline reflects the reality of building mission-critical systems.
"The technology and technical methods envisioned are all within reach. The chronic disasters from Greece to California show a need for actionable data. Minutes matter."
Chair, Internet Society SF Bay Area
Chair, SF Bay ACM
All proposed technologies are proven and within current engineering capabilities
Urgent demand for actionable wildfire data validated by recent disaster patterns
Industry recognition that minutes matter in wildfire detection and response
Guardian stakes monitor environmental conditions continuously, detecting temperature spikes, smoke, and other fire indicators using advanced sensors.
The moment fire conditions are detected, alerts propagate through the mesh network to emergency responders, providing precise location and severity data.
Emergency teams receive real-time data to deploy resources effectively, evacuate threatened areas, and contain fires before they spread beyond control.
The 2025 Los Angeles fires revealed the devastating cost of inadequate early detection systems
Interested in collaborating on infrastructure development or partnership opportunities?