Zorluk

Pastry quality control is performed manually by an operator at the forming machine outlet. The operator visually inspects each item and removes defects — filling leakage, deformation, integrity violations.

  • Subjective assessment depends on operator fatigue and attention
  • Manual inspection speed limits line throughput
  • Impossible to ensure 100% control at high production rates
  • No statistics on defect types and frequency

Çözüm

Three system configurations for different production volumes. Common architecture: industrial camera captures the product stream, neural network classifies each pastry, actuator automatically removes defective items from the conveyor.

  • Defect detection: filling leakage, deformation, integrity violations, foreign inclusions
  • Real-time neural network classification
  • Pneumatic ejector or pusher for defect removal
  • Three configurations: basic / standard / extended for different line speeds
  • Defect statistics accumulation with breakdown by defect type

Şemalar

Option A — pneumatic rejection system

Option A — pneumatic rejection system

Option B — cobot arm on conveyor

Option B — cobot arm on conveyor

Option B — delta robot (parallel manipulator)

Option B — delta robot (parallel manipulator)

Temel Avantajlar

100% inspection

Every item is inspected regardless of line speed or time of day.

📊

Defect analytics

Automatic defect type statistics — foundation for recipe and equipment improvement.

⚙️

Three configurations

Basic, standard and extended — choose by budget and throughput.

🔌

Easy integration

Installed on existing line without production shutdown.

Teknolojiler

  • Neural network defect classification
  • High-resolution industrial camera
  • Machine vision computing module
  • Pneumatic or mechanical rejection system
  • PLC + operator HMI panel

Benzer bir çözüme mi ihtiyacınız var?

Görevinizi anlatın — gereksinimlerinize uygun çözüm tasarlayalım

Bize Ulaşın →
← Tüm Çözümler