python/ruview-meta/README.md
Ambient intelligence from WiFi CSI. Detect human presence, count people, read breathing and heart rate, and estimate skeletal pose — using only the WiFi signal already in your home. No cameras. No wearables. Works through walls and in the dark.
ruview is the brand-facing meta-package for the
RuView sensing stack. It installs
the compiled PyO3 wheel published as
wifi-densepose and
re-exports its full API under the ruview namespace — so you can
write either of these and they do the same thing:
from ruview import BreathingExtractor, SensingClient
from wifi_densepose import BreathingExtractor, SensingClient
pip install ruview # core DSP
pip install "ruview[client]" # + WebSocket/MQTT clients
from ruview import BreathingExtractor
br = BreathingExtractor.esp32_default() # 56 subcarriers @ 100 Hz, 30s window
for residuals, weights in csi_source:
est = br.extract(residuals=residuals, weights=weights)
if est is not None:
print(f"{est.value_bpm:.1f} BPM (confidence={est.confidence:.2f})")
Full API + WebSocket / MQTT / Home Assistant integration docs: wifi-densepose on PyPI.
Historic: wifi-densepose is the technical / academic name (the
project started as a WiFi-based DensePose implementation).
ruview is the brand the v2 ambient-intelligence platform ships
under. Both are the same code. You pick the import that reads
better in your project.
MIT.