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What if an ESP32-S3 could hear a drone before you could see it? Agam Rossen's VolAnti is an open-source acoustic drone detector built around an ESP32-S3, four MEMS microphones, e-paper display and LoRa radio. It analyzes the harmonic signature of spinning propellers instead of looking for radio signals, making...

89,292 просмотров • 6 дней назад •via X (Twitter)

Комментарии: 15

Фото профиля Praveen Kumar Verma
Praveen Kumar Verma6 дней назад

No expensive radar. No cloud. Just microphones, DSP and an ESP32-S3. It hears the propellers, not the radio, so it works against fibre-optic FPV aircraft that emit no signal at all. Repo:

Фото профиля Jack | LDA
Jack | LDA6 дней назад

If you gave it very sensitive microphones and a lot more power then linked it with others nodes via LoRa it could be deployed in a mesh system to detect and triangulate drones over a large area. That would be insanely useful, possibly a viable startup.

Фото профиля Praveen Kumar Verma
Praveen Kumar Verma6 дней назад

That's very good idea. Thank you for it.

Фото профиля Jack | LDA
Jack | LDA6 дней назад

Where is @PalmerLuckey collab! 😂

Фото профиля Praveen Kumar Verma
Praveen Kumar Verma5 дней назад

@PalmerLuckey 😄

Фото профиля Giordano Bruno
Giordano Bruno6 дней назад

H O L Y - S H I T. This is exactly what I am working on. Mine uses Pan Tilt to detect volume based on audio signiature - the only difference is I am using revived world war 2 technology to isolate the angle and elevation. Put this person in touch.

Фото профиля Praveen Kumar Verma
Praveen Kumar Verma6 дней назад

The PCB is what makes this project especially interesting. A compact board bringing together four MEMS microphones, ESP32-S3 processing, power management, e-paper and LoRa turns the idea into a practical edge device. Great example of how thoughtful PCB design can make embedded sensing far more capable.

Фото профиля CryptoPatrick
CryptoPatrick6 дней назад

Wow! Thanks for sharing this! I've been thinking about exactly this.

Фото профиля Praveen Kumar Verma
Praveen Kumar Verma5 дней назад

What makes yours different with this? Really good to know more folks are working on it.

Фото профиля CryptoPatrick
CryptoPatrick5 дней назад

I mean, I think it's obvious that battlefield ambient sounds are going to pose a major challenge in this case, where signal-to-noise ratio falls, and competing sources can have spectral structures which resemble parts of the drone signature. However, under other circumstances (for example air ports, rooftops close to critical infrastructure, protected sites, etc) this could be a great component if hooked up to an early warning system.

Фото профиля Praveen Kumar Verma
Praveen Kumar Verma5 дней назад

Yes, if applied well, it can unlock new potential for warning system.

Фото профиля Timur
Timur5 дней назад

Which types of drones it can detect?

Фото профиля Paolo AI
Paolo AI5 дней назад

Very cool maybe also adding a pan tilt heading with a laser microphone to further improve range ?

Фото профиля Foad S. Farimani
Foad S. Farimani5 дней назад

We need more civilian defense technologies like these. European government have their heads in their arses and we are not ready for the future threats.

Фото профиля Peter Enis
Peter Enis6 дней назад

I'm glad you added the link to his github, you streetshitting waste of biomass.

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