# HELLBAT - Acoustic Drone Detection

- **Event:** [National Security Hackathon (by Army xTech)](https://cerebralvalley.ai/e/3rd-annual-natsec-hackathon)
- **When:** May 2 at 9:00 AM – May 3 at 4:00 PM (PDT)
- **Where:** Shack15, San Francisco, CA
- **Team:** [Jared Childers](https://cerebralvalley.ai/u/absorbdmg)
- **GitHub:** https://github.com/absorbdmg/edge-acoustic-detection
- **Demo video:** https://youtu.be/sxLyOx9psMk?si=oyExMVQtM-yn1MJX
- **Gallery:** https://cerebralvalley.ai/e/3rd-annual-natsec-hackathon/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/3rd-annual-natsec-hackathon/hackathon/gallery/9

HELLBAT — Acoustic Drone Detection at the Edge
Modern counter-UAS depends on RF and radar — both fail against the threats that matter most. Acoustic is the missing modality.

Two MEMS mics + ESP32-S3 sensor node feed a Jetson running bio-inspired modulation features and a probabilistic classifier; GCC-PHAT on stereo audio gives bearing. <200ms latency, no GPS, no RF emissions.

Sensor node ~$20. Path to <$50/node at scale via custom SoC. A cheap node is a node you can lose, and a mesh of them triangulates not just drones, but small-arms fire and mortar teams.

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Markdown version of https://cerebralvalley.ai/e/3rd-annual-natsec-hackathon/hackathon/gallery/9. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt