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v0.6.0-esp32

google/comprehensive-rustv0.6.0-esp32Apr 3, 2026by ruvnet

AI Summary

This release introduces pre-trained models hosted on HuggingFace and expands the sensing application suite to 17 new tools, focusing on high-performance inference and security.

Key Highlights

  • Pre-trained weights available on HuggingFace (RuView) with 0.008ms inference speed.
  • 17 new sensing applications including sleep monitor, apnea detector, and RF tomography.
  • High performance metrics: 164K embeddings/second and 51.6% contrastive improvement.
  • Security fix merged via PR #310.

New Features

  • Sleep monitor
  • Apnea detector
  • Stress monitor
  • Gait analyzer
  • RF tomography
  • Passive radar
  • Material classifier
  • Through-wall detector
  • Device fingerprint
  • Kalman tracker

Full Release Notes

Pre-trained weights: **https://huggingface.co/ruv/ruview** | [mirror](https://huggingface.co/ruvnet/wifi-densepose-pretrained)

**0.008ms inference | 164K emb/s | 100% presence | 51.6% contrastive improvement | 8 KB model**

Trained on 60,630 overnight samples. 17 sensing applications. 10 ADRs (069-078).

New: sleep monitor, apnea detector, stress monitor, gait analyzer, RF tomography, passive radar, material classifier, through-wall detector, device fingerprint.

PR #341 (Kalman tracker by @taylorjdawson) + PR #310 (security fix) merged.

[HuggingFace](https://huggingface.co/ruv/ruview) | [Cognitum.one](https://cognitum.one) | [Tutorial](https://github.com/ruvnet/RuView/blob/main/docs/tutorials/cognitum-seed-pretraining.md)