IMAGE FORMAT

Inspection System

IMAGE FORMAT

Inline Bottle Format Inspection

IMAGE FORMAT classifies glass bottles inline by height, contour, colour and closure type for reliable format sorting before filling.

Format DetectionUp to 120,000 cph
Containers
Glass
Line position
Pre filler

Application

Detect Wrong Bottle Formats

IMAGE FORMAT identifies wrong or foreign glass bottle formats before filling. It supports production, non-production and empties sorting while helping maintain a continuous bottle flow.

  • Line positionPre filler
  • ProductsGlass
  • TasksFormat Detection
IMAGE FORMAT - Einsatzbereich
IMAGE FORMAT - Funktionsprinzip

Operating principle

Camera-Based Format Classification

A high-resolution camera captures the complete bottle against LED background illumination. BBULL IMAGE software classifies each bottle by height, contour, colour and closure type and assigns category-dependent handling.

  • PerformanceUp to 120,000 cph
IMAGE FORMAT - Benefits

Benefits

  • Prevents wrong glass bottle formats from reaching the filler by identifying them inline.
  • Helps maintain a continuous bottle flow by sorting production and non-production formats before filling.
  • Reduces manual sorting effort and physical strain through automated bottle classification.
  • Adapts to changing bottle pools through teach-in, expandable bottle libraries and category-based handling.
  • Simplifies mechanical integration because the compact inspection unit requires no height adjustment.
  • Improves inspection consistency through telecentric optics and complete bottle imaging.
IMAGE FORMAT - Features

Features

  • Classification by bottle height, contour (diameter and shape), colour and closure type.
  • High-resolution camera maps the complete bottle.
  • Telecentric optics reduce distortion caused by differing bottle positions.
  • Wear-free LED background illumination.
  • Teach-in for good and bad bottles with category grouping and category-dependent handling.
  • Integrated tracking and advanced statistics.
  • Optional deep-learning extension with the THETA control unit.
  • Multi-line, cascadable and expandable system concept.
GDPR Cookie Consent with Real Cookie Banner