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Foodman Vision Inspection System for Label and Sealing

Manufacturer: Easyweigh

Foodman Vision Inspection System for Label and Sealing

AI camera inspection system providing 360° checks of seals, codes and labels on food, beverage, pharmaceutical and cosmetic packs, including barcodes, 1D/2D codes and surface damage.

Key features

  • 360° inspection of sealing, coding and labelling
  • Verifies barcodes and 1D/2D codes
  • Seal flatness and alignment inspection
  • Detects scratches, dents and cracks on cans, blisters and containers
  • AI deep-learning defect recognition
  • Real-time HMI monitoring, visual reports and image management
  • Self-diagnosis and remote assistance

Technical data

Food industry checks
Label accuracy; seal inspection; damage detection on cans and foil seals
Pharmaceutical checks
Blister pack inspection (tears, misalignment, perforation); barcode and code validation; flatness and seal quality of sachets, tubes and containers
Cosmetics & personal care checks
Container flaws (deformation, scratches); seal verification on pouches and tubes; label alignment
Beverage (aluminium can) checks
Can integrity (micro-cracks, dents, gaps); promotional QR and batch code placement; exterior surface inspection
Code formats verified
Barcodes, 1D and 2D codes

Description

The Foodman vision inspection system combines industrial cameras with adaptive AI to inspect sealing, coding and labelling all around the pack (360°). It is used for pharmaceuticals, cosmetics, food, beverages and other packaged goods, can be customised to different products and pack formats, and can run alongside X-ray inspection on the same line.

What it checks

  • Labels and codes: presence, absence and defects of labels; correct alignment and legibility of information such as nutrition facts, batch data and branding; barcodes and 1D/2D codes.
  • Seal integrity: seal flatness and alignment on cans, sauce containers, ready meals, sachets, tubes and pouches, to prevent leaks and contamination.
  • Appearance and structural damage: micro-scratches, dents, cracks and gaps on aluminium cans, foil seals, blister packs and plastic containers.

AI and monitoring

AI deep learning builds a complete data model of the product and identifies defects in the acquired images; the manufacturer states 100% recognition of defects in its data model. The HMI shows the inspection in real time with visual reports and image management for quality control and traceability. The system includes self-diagnosis and remote-assistance functions.

See it working

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