An open-source hardware (OSHW) ultra-early wildfire detector.
We propose the OpenForest Logger: an open-source hardware (OSHW) ultra-early wildfire detector. Unlike optical systems (satellites/cameras) that are slow to react, our device uses gas sensors and Edge AI to detect the "smell" of fire (pyrolysis gases) during the invisible smoldering phase.
To reclaim public safety infrastructure from proprietary "black boxes", we are building a fully transparent, repairable Digital Common. The device uses a Solar + Supercapacitor architecture (eliminating toxic Li-Ion batteries) for 10-year maintenance-free operation in extreme heat.
The result is a sovereign, replicable solution empowering local communities to monitor forests without vendor lock-in.
- Hardware: Production-ready KiCad schematics/PCBs released under CERN-OHL-W-2.0, designed for manufacturing at OSHW-friendly houses like Seeed Studio.
- Firmware: A Zephyr RTOS codebase with Edge AI models, supporting both LoRaWAN (The Things Network) for efficiency and Meshtastic for decentralized mesh, released under GPLv3.
- Data: Native integration with OpenSenseMap for global visualization.
This repository is organized as follows:
[1]hardware/: KiCad Project (Schematics, PCB Layouts, BoM, Gerbers).[2]firmware/: Zephyr RTOS source code, DeviceTree overlays, and AI models.[3]mechanical/: 3D CAD files (Onshape/STEP) for the IP67 enclosure.[4]docs/: Assembly guides, datasheet, and field testing reports.
- Electronics: KiCad 9.0+
- Firmware: Zephyr SDK