A New Optical Sensing Device for Real-Time Noncontact Vibration Measurement Considering Light Field Variation
Why this work is in the frame
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Bibliographic record
Abstract
Vibration measurement is essential for vibration monitoring and control. Noncontact vibration measurement is more applicable in practice than the contact measuring manner, but the noncontact methods usually pose a high requirement in the light field environment. To solve this issue, a new binocular vision method is proposed to enable noncontact vibration measurement with different light fields. In this new method, the multitarget objects in the same image are first recognized by a YOLOv5 model to generate the bounding boxes; meanwhile, a depth image is generated through binocular vision and kept synchronized with the target image. Then, based on each bounding box and its corresponding depth image, an optimal depth value decision algorithm is developed to determine the 3-D real-time coordinates of each object. As a result, the vibration of multitarget objects can be measured simultaneously. An experimental test system was built to evaluate the performance of the proposed method in indoor and outdoor light fields. The tests demonstrate accurate vibration measuring results, and the proposed noncontact method is able to detect very low-frequency vibrations.
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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 | 0.001 | 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 | 0.001 | 0.001 |
| 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