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Case Study – Premium Packaging Quality Control

Venchi Chocolate Packaging Verification

AI-powered real-time counting and verification of chocolate components in packaging. Ensures every box meets quality standards. Detects missing pieces, verifies secondary packaging integrity. 100% accuracy, zero escapes.

AI Chocolate Packaging Control - Real-Time Component Counting & Verification
Component Count Accuracy
100%
Component Count Accuracy
Packaging Completeness
99.9%
Packaging Completeness
Real-Time Verification
0.5s
Real-Time Verification

The Challenge

Venchi produces premium chocolates with complex, multi-piece assortments. Each box contains dozens of individual pieces that must be precisely counted and verified before shipping. Manual counting is slow, error-prone, and inconsistent.

  • 01

    Manual Counting Risk

    Operators manually verify each piece. Fatigue leads to miscounts. Missing chocolates reach customers.

  • 02

    Slow Verification

    Each box checked by eye takes 30-60 seconds. Production line throughput limited by inspection speed.

  • 03

    Secondary Packaging Issues

    Cannot verify if secondary box (gift packaging) integrity before shipment. Damaged boxes reach customers.

  • 04

    Brand Reputation Risk

    Missing pieces = disappointed customer, negative review, brand damage. Premium products demand perfection.

AI-Powered Packaging Control

Real-time component counting & verification with shape recognition, automatic piece identification, and secondary packaging inspection.

AI Chocolate Packaging Control in Action

AI Chocolate Packaging Control - Real-Time Component Counting & Verification

AI vision system identifies and counts every chocolate component. Recognizes shape, size, orientation. Real-time verification ensures complete packages.

High-Speed Chocolate Packaging Line - AI Counting at Production Speed

High-speed conveyor line with AI counting system. Processes chocolate boxes continuously at production speed. Zero slowdown, 100% accuracy verified.

System Capabilities

  • 01

    Multi-Piece Recognition

    Identifies each chocolate type in mixed assortments. Handles complex shaped pieces (pralines, nougat, ganache, etc.)

  • 02

    Conveyor Integration

    Counts pieces in real-time as boxes move on production line. No line slowdown. Processes 100+ boxes/hour.

  • 03

    Position Verification

    Checks if each piece is correctly positioned in box. Detects shifted or missing pieces before packaging.

  • 04

    Secondary Box Check

    Verifies gift packaging integrity, seals, labels, wrapping before shipment to customer.

  • 05

    Defect Detection

    Identifies damaged chocolates, discoloration, unwrapped pieces. Automatically removes from shipment.

  • 06

    Quality Dashboard

    Real-time reporting of counts, defects, rejection rate. Tracks production quality metrics.

Proven Results

  • 100%

    Count Accuracy

    Every chocolate counted correctly. Zero miscounts. Incomplete boxes flagged immediately.

  • 99.9%

    Packaging Completeness

    Verifies secondary packaging integrity. No damaged boxes reach customers.

  • 80%

    Faster Verification

    0.5s AI count vs 30-60s manual. Production line throughput increases 5-10x.

  • 0

    Customer Complaints

    100% of boxes verified before shipment. Premium experience guaranteed.

Free feasibility test

Ensure Perfect Chocolate Boxes Every Time

See how AI counting verifies completeness and quality. Request a demo with your actual chocolate assortments.

parts or photos
20
parts or photos
days to results
5-7
days to results
no commitment
€0
no commitment
FAQ

Frequently Asked Questions

Another question? Call us on +39 049 825 6850 or email info@logirobotix.com.

Can the system distinguish between different chocolate types in the same box?
Yes. AI is trained to recognize each chocolate type by shape, size, color, wrapper pattern. Handles pralines, nougat, ganache, filled chocolates, etc. Mixed assortments pose no problem.
How does it work with different packaging sizes and styles?
System is trained on your specific box dimensions and layouts. Adapts to different SKUs/products. If you change packaging, brief retraining (1-2 days) updates AI model.
What happens if a chocolate is damaged or broken?
AI detects broken pieces, discoloration, missing parts. Flags them as defects. System can automatically remove defective boxes from line or alert operator for manual inspection.
How does secondary packaging verification work?
After primary count, system inspects gift box integrity: seals intact, wrapping clean, labels correct. Verifies secondary box quality before shipping to customer.
Can it work at high conveyor speeds?
Yes. System processes 100+ boxes/hour even at high conveyor speeds. AI runs in real-time with no line slowdown. Inline or static deployment both supported.
What data is captured and how is it used?
Every box logged with: piece count, defects detected, timestamp, line speed, operator. Enables traceability, quality reporting, production analytics. Helps identify if certain pieces or packaging issues are recurring.

Trusted on production lines at

  • thyssenkrupp
  • Alcantara
  • Colombini Casa
  • Vellardi
  • Getcoo
  • MTG