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PlugZ Visual AI

PlugZ AI Visual
Artificial Intelligence for Visual Evidence Review

AI-assisted visual evidence for verifier review, comparing observed product signals, documents, and chain records without making categorical authenticity claims.

Advisory
Analysis Mode
<5s
Analysis per Image
Human review
Human Validation
AI + Human
Hybrid System

Hybrid System: AI + Human Experts

Automatic AI Analysis

  • Detection of visual evidence signals
  • Identification of critical points of concern
  • Routing to a vetted human verifier — the model triages, it does not score authenticity
  • Analysis attached to the verifier review record

Mandatory Human Validation

  • Vetted specialists review all analyses
  • Humans always make the final decision
  • Human expertise and intuition preserved
  • Continuous feedback to improve AI

Technical Analysis Process

1. Upload

Image is loaded and pre-processed

2. AI Analyzes

Specialized algorithms process the image

3. Score Generated

Critical points are identified and scored

4. Human Decides

Vetted specialist makes final decision

What AI Analyzes in Each Category

Sneakers

  • Stitching patterns and quality
  • Logo positioning and proportions
  • Sole construction and materials
  • Color accuracy and gradients
  • Box and packaging details

Apparel

  • Fabric texture and quality
  • Label positioning and typography
  • Seam construction
  • Hardware and zippers
  • Care labels

Accessories

  • Leather grain and texture
  • Hardware finish and weight
  • Stitching precision
  • Serial numbers and stamps
  • Authenticity cards

Benefits of AI Visual for You

Faster Verification

AI highlights visual signals so verifiers can focus their evidence review

Subtle Fraud Detection

Advanced algorithms surface visual anomalies and supporting evidence for verifier review

Expert Confidence

Verifiers receive structured confidence scores and supporting evidence from AI

Quality Standardization

Reviews follow a consistent evidence checklist for each supported category

Transparent Process

You can see exactly which points were analyzed and why

Evidence-Led Technology

Specialized AI supports physical-object review without issuing categorical authenticity verdicts

Privacy and Security

How We Protect Your Data

  • AES-256 encryption at rest and in transit
  • Access restricted to authorized verifiers only
  • We store the hash and the result of each analysis, not the image itself
  • Aligned with GDPR and applicable privacy laws

Full Transparency

  • You can see which analyses were run on your items
  • Detailed reports available after verification
  • Complete audit trail of the entire process
  • Right to request deletion of your analysis records at any time

Frequently Asked Questions

1

Does AI completely replace human verifiers?

No. AI is an assistance tool that provides risk signals and evidence prompts. It does not make a final authenticity claim; human review and supporting records carry the decision.

2

Are my images stored in the system?

Yes, temporarily. Images are encrypted and stored for a maximum of 30 days for audit and dispute resolution purposes. After this period, they are automatically deleted. You have the right to request early deletion at any time.

3

How does AI learn and improve?

Through a controlled feedback loop. Human verifier feedback can improve risk-signal quality over time, but AI output remains advisory and evidence-based.

4

Can I see the AI analysis results?

As a buyer, you'll see the evidence and review signals available for the item. As a seller, you receive feedback on photo quality and risk signals that may need more evidence.

5

Does AI work for all product types?

We currently focus on sneakers, apparel, and accessories, with category-specific models that flag visual inconsistencies and evidence gaps. They do not independently authenticate an item.

Evidence-Led Review with AI Assistance

Our advisory process combines AI evidence extraction with human verifier review and NFC/blockchain records.

Advisory AI + Vetted Verifiers = Reviewed Evidence