INTELLIGENT COMPUTER VISION SYSTEM (SAIF) FOR AUTOMATED INSPECTION OF GINSENG ROOTS QUALITY
Bibliographic record
Abstract
Intelligent computer-vision system for automated inspection of food safety and quality (SAIF) developed on the basis of compact CCD camera with IEEE-1396 interface and configurable software (IMAQ TM 6.1, Lab VIEW 7.0) is presented. It offers an extensive set of optimized functions for advanced image acquisition, segmentation, feature extraction, data analysis, spatial measurement and calibration. It also includes the ability to set up complex pass/fail decisions in order to control digital I/O devices such as PLC. The system application for online inspection of ginseng root quality during drying was developed. Area shrinkage was continuously monitored through computer-vision system by extracting morphological features with thresholding and pixels counting. Colour changes were monitored through computer-vision system as surface color intensity. Relationships between image attributes and physical parameters of drying (shrinkage/moisture, color/quality) were used for online estimation of actual moisture content and quality degradation. Testing of system proved accuracy in estimation of ginseng quality and process parameters in multi-stage drying. The feasibility of SAIF as system observer for closed-loop control is discussed.
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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 | 0.000 |
| 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 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".