alt Hacker NewsShow HN: ESPectre – Motion detection based on Wi-Fi spectre analysis
Hi everyone, I'm the author of ESPectre.
This is an open-source (GPLv3) project that uses Wi-Fi signal analysis to detect motion using CSI data, and it has already garnered almost 2,000 stars in two weeks.
Key technical details:
- The system does NOT use Machine Learning, it relies purely on Math. — Runs in real-time on a super affordable chip like the ESP32. - It integrates seamlessly with Home Assistant via MQTT.
Comments
Gys • today at 8:43 PM
Interesting! Are you familiar with tommysense.com? I think it doing something similar? Did not yet have time to try it.
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tetris11 • today at 7:50 PM
Amazing stuff!
Am I right in understanding that only a single ESP32 device is needed (plus a router)?
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Been working on this very idea casually for couple years with ESP-IDF and I could never get the statistical signal processing just right (by my definition). Things I've tried: adapting filtering (LMS, Kalman), kernel methods (NEWMA, MMD), detectors (CUSUM, GLR), dimensionality reduction (random projection, online PCA), whitening, etc.
I use a single ESP32 in STA/AP mode which sniffs ACK packets with a specific destination mac, which come from any server on my WiFi network (uses a special sniffing mode IIRC). This way I can receive regular CSI packets originating from a fixed location and doesn't need another device running.
I'll have to look at this code, maybe I just overlooked the obvious or my requirements were too high!