Review of the characteristics of 384x288 pixel THz camera for see-through imaging
Bibliographic record
Abstract
Terahertz is a field in constant expansion. Multiple applications are foreseen including see-through imaging. To develop deployable systems, real-time two-dimensional cameras are needed rather than monopixel detectors or linear arrays that require mechanical scanning systems. INO has recently developed a real-time (video rate) 384x288 THz camera exhibiting excellent sensitivity and low noise levels. The core of the THz imager is the 35 μm pitch detector array that is based on INO’s uncooled VOx microbolometer technology and fabricated in INO’s clean room. A standard ceramic package is used for final packaging. The detector FPA is finally sealed with a high resistivity float zone silicon (HRFZ-Si) window having an anti-reflective coating consisting of thick Parylene, which the thickness of which depends on the required optimization wavelength. The FPA is mounted on an INO IRXCAM core giving a passive THz camera assembly. The additional THz objective consists of a refractive 44 mm focal length F/1 THz lens. In this paper, a review of the characteristics of the THz camera at is performed. The sensitivity of the camera at various THz wavelengths is presented along with examples of the resolution obtained with the IRXCAM-384-THz camera core. See-through imaging results are also presented.
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How this classification was reachedexpand
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 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".