Batear is a high-performance, community-driven framework designed to detect and track drone activity using affordable, off-the-shelf hardware. By combining FFT-based acoustic signature analysis with LoRa mesh networking, we are building a decentralized "Acoustic Shield" for privacy and security.
Explore the Firmware | Hardware Roadmap | Get Involved
Our goal is to bridge the gap between expensive military-grade sensors and accessible maker technology. We focus on high-fidelity edge computing to provide real-time alerts without the need for cloud processing.
- Real-time Analysis: Optimized FFT signal processing running on ESP32-S3.
- Decentralized Mesh: Long-range notifications via LoRa and Home Assistant integration.
- Professional Standards: Transitioning from prototypes to industrial-grade All-in-One (AIO) PCB designs.
| Repository | Status | Description |
|---|---|---|
| batear |  |
Core Firmware: FFT analysis, LoRa stack, and Web Serial integration. |
| hardware |  |
In Development: Custom All-in-One (AIO) PCB designed for acoustic optimization. |
| docs | |
Centralized technical documentation. |
We are currently moving beyond development boards. Our HCB-supported roadmap includes:
- Acoustic Precision: Integrated MEMS microphones (MSM261D35) for superior SNR in field conditions.
- RF Engineering: Validating internal FPC patch antennas for 2km+ range with 3D-printed enclosures.
- Low Barrier to Entry: Providing a standardized hardware platform for our 300+ active cloners.
Batear is built on Radical Accessibility. We believe airspace security shouldn't be a luxury.
- Ultra-Low Cost: By using ESP32 and I2S microphones (ICS-43434), we reduce detection costs from thousands to under $30 USD.
- Plug-and-Play: Batear is designed for easy, widespread deployment by anyone, anywhere.
