RuView: Room Calibration System Launch
A comprehensive room calibration system has been integrated into RuView, enabling per-room WiFi sensing model training with HTTP API support for appliance integration. The update includes CLI parsing fixes and documentation improvements to support the new calibration workflow.
Duration: PT2M3S
Episode overview
This episode is a short developer briefing from RuView.
It explains recent repository work in plain language.
- Show: RuView
- Published: 2026-06-11T06:03:33Z
- Audio duration: PT2M3S
Transcript excerpt
This excerpt keeps the crawler page concise. Listen to the episode or use the RSS feed for the full update.
Good morning, it's June 11th, 2026.
The major development is the launch of RuView's per-room calibration system, a complete pipeline that transforms raw WiFi sensing data into specialized room-specific models for breathing, heartbeat, and presence detection.
Pull request 989 introduces the full calibration architecture, implementing what's documented as ADR-151. The system works through a four-stage pipeline: baseline capture in empty rooms, guided enrollment with quality gates, feature extraction for vital signs, and training of specialized model banks. What makes this…
A critical compatibility issue was resolved in pull request 1002, where the CLI calibration commands were failing on newer firmware builds. The root cause was a mismatch in CSI frame parsing - newer firmware captures 192 complex values including additional LTF segments, but the calibration pipeline expected only the…
The third update, pull request 993, adds beginner-friendly flow diagrams to the documentation using Mermaid format, addressing feedback about the complexity of getting started with the calibration system.
Looking ahead, this positions RuView for appliance integration with the Cognitum v0 platform and…
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