Can Future Wireless Networks Detect Fires?
Why this work is in the frame
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Bibliographic record
Abstract
Latencies, operating ranges, and false positive rates for existing indoor fire detection systems like smoke detectors and sprinkler systems are far from ideal. This paper explores the use of wireless radio frequency (RF) signals to detect indoor fires with low latency, through walls and other occlusions. We build on past research focused on wireless sensing, and introduce RFire, a system which uses millimeter wave technology and deep learning to extract instances of fire. We perform line-of-sight (LoS) and occluded non-LoS experiments with fire at different distances, and find that RFire achieves a best-result mean latency of 24 seconds when trained and tested in multiple environments. RFire yields at least a 4 times improvement in mean alarm latency over today's alarms.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it