
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.
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