Design and development of a sensor for distance and velocity measurement using an Infrared camera for studying kinematic movements
Why this work is in the frame
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Bibliographic record
Abstract
This paper presents a position and velocity measurement method for a moving object as a function of time, based on the use of Infrared camera. Our approach consists of marking the moving object by four Infra-Red sources and calculating its position using the pixels coordinates of the luminous spots sent by the IR camera. In fact the distance between the luminous marks being constant, the variation of the number of pixels corresponding to the distance between them during the mobile displacement allow us to calculate its position. Data acquisition and modeling are done through the MicroLabExAO acquisition interface. The position and velocity sensor so prepared allows students to study the concepts related to kinematic movements accurately within the range of 0-150 cm.
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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