THETA IMAGE 360 G2

Inspection System

THETA IMAGE 360 G2

360° label inspection for round containers

IMAGE 360 G2 inspects labels, containers and printed information from all sides using four high-performance cameras and image processing.

Label InspectionUp to 72,000 cph
Label PresenceLabel AlignmentCode Reading
Containers
Glass, Ref Pet, Oneway Pet, +3
Line position
Post labeller

Application

All-Around Product Inspection

IMAGE 360 G2 is used for all-around inspection of labels, containers and products on conveyor lines. The system is suitable for round products such as bottles, cans, cups, tubes and jars and also supports container verification before filling.

  • Line positionPost labeller
  • ProductsGlass, Ref Pet, Oneway Pet, Beverage Can, Food Can, Tubes
  • TasksLabel Presence, Label Alignment, Code Reading, Format Detection, OCR OCV Reading, Label Inspection
THETA IMAGE 360 G2 - Einsatzbereich
THETA IMAGE 360 G2 - Funktionsprinzip

Operating principle

Four-Camera Image Processing

Four cameras capture the container from different angles. Image processing combines the images, analyses shapes and colours, and compares the results with defined reference values. Detected deviations can be flagged for review, sorting or rejection, while process data is available for analysis and optimisation.

  • PerformanceUp to 72,000 cph
THETA IMAGE 360 G2 - Benefits

Benefits

  • Multi-camera capture enables comprehensive all-around inspection of labels and containers.
  • Automated inspection reduces manual checking effort and supports consistent product quality.
  • Teach-in and statistics support product changes, fault analysis and process optimisation.
THETA IMAGE 360 G2 - Features

Features

  • Four high-performance cameras with image processing for all-around inspection.
  • Inspection of label alignment, overlaps, skew, damage, print quality and readability.
  • Detection of colour, incorrect product type, EAN, UPC, pharma and 2D codes, plus OCR content.
  • Integrated tracking, 21-inch operation, advanced statistics, remote maintenance and optional deep learning.
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