A pilot study of vision-based real-time detection of invisible gas leak and fire
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract The detection of gas leak/fire is a critical element in the safe production, transportation, storage and dispensing of many industrial gases including hydrogen. A novel background detection methodology for IR-insensitive gases was explored in this work. This methodology extracted IR data to a certain target frequency and processed to filter the background signals of the adjacent air and inverse the movements of gas in comparison to the background pixels. Results from the IR data indicate that the background detection methodology is possible and visually outperforms the native FLIR HSM filter. The methodology was capable of capturing both hot-gas and cold-gas flow. Due to the nature of the methodology, detection limits were found to be ΔT∼30 °C for cold-gas helium and ΔT∼20 °C for hot-gas helium, with better ability to detect as the temperature differences increase.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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