Communitygoertzel algorithmesp32 s3audio detectionopen source
Batear Detects Nearby Drones With Audio
6.2
Batear is a low-cost, open-source device that detects nearby drones using an ESP32-S3 microcontroller and an I2S MEMS microphone. It applies a Goertzel algorithm to monitor rotor harmonic frequencies on-device, avoiding FFT, cloud processing, or subscriptions, and costs under $15 in hardware. Developers seek field testers to refine detection thresholds because performance depends on wind, background noise, and distance.
Key Points
- 1Uses Goertzel algorithm on ESP32-S3 to detect drone rotor harmonic frequencies
- 2Reduces memory and compute versus FFT, enabling low-power microcontroller-based detection
- 3Enables sub-$15, offline, privacy-friendly detectors suitable for remote farms and field deployment
Scoring Rationale
Practical, low-cost design offers actionable hardware solution; limited novelty and reliance on field testing constrain broader immediate impact.
Sources
Public references used for this report.
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