- Finding
- Seal irregularity
- Category
- Packaging
- Severity
- High
- Confidence
- 82%
- Observed
- Visible gap along the lid edge on the centre unit.
- Interpretation
- Possible sealing fault. Not confirmed.
- Next action
- Re-inspect lot; check sealing station.
- Limits
- Image cannot show contamination; qualified review required.
AI Inspection
Upload an image, connect it to a product, batch, line and supplier, and receive validated, structured findings your team can review, confirm or reject.
A paragraph answer
“The jar may have a slightly irregular seal and the label looks maybe a bit off, so there could be an issue…”
A FoodVision AI finding ↓
Illustrative · sample content, not customer data
Upload → Validate → Analyze
Each image is checked for usability before analysis. Findings carry category, severity, confidence, observed evidence, interpretation, recommended action and stated limitations.
Evidence vs. interpretation
What is visibly observed is always kept separate from what the AI infers. Nothing is treated as a confirmed quality failure until an authorized reviewer confirms it.
Packaging & label inspection
Visible packaging damage, seal appearance, label position and legible text are examined where image quality allows.
- Legal or regulatory label compliance is never claimed from an image
- Unclear text is reported as unclear, not guessed
Your quality categories
Classification — acceptable, review required, defect detected, critical review — follows the standards your organization configures, with the reasoning shown.
FoodVision AI is decision support for qualified professionals. A photograph cannot establish pathogens, toxins, chemical contamination, allergens or regulatory compliance; where evidence is insufficient the product says additional testing or qualified human review is required.