A camera as a sensor for lighting and shading control
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
We developed a proof-of-concept prototype camera-based system for lighting and shading control. The system utilised a simple CMOS-based digital camera with an approximate v-lambda filter, calibrated to provide pixel luminance values up to 10,000 cd/m 2 . We demonstrated that the single camera sensor has the potential to replace the multiple sensors required by conventional systems for daylight harvesting, shading control and occupancy sensing. Performance similar to conventional systems was replicated, but in addition, alternate control algorithms based on spatial luminance information were demonstrated. However, considerable further development would be required to produce a commercial version, and there may be resistance to deployment due to privacy issues. Cameras offer other potential valuable end uses, examples are fire detection and security, which could effectively subsidise the lighting control functions, making automatic lighting controls more financially attractive, and promoting energy savings.
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 | 0.001 | 0.001 |
| 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