Verification of packaging correspondence
- Localization and visual identification of food products before packaging
- Locate unnoticed variations such as angle, size and shade on objects
- Identification of food products and association of contents with their packaging
Machine vision systems verify that packaging contains the right elements.
Unrivaled accuracy in product identification
Top quality guarantee
Using PatMax RedLine technology, the In-Sight 7000 vision system learns the unique geometry of each food product, allowing it to search for similar geometric shapes in acquired images. This precision ensures correct product identification, avoiding costly packaging errors and customer disappointments.
Reliable variation detection
Variations in angle, size and shade can pose challenges, but the In-Sight 7000 system is equipped with color filtering, identification and extraction tools to record differences in color and geometry. This means it can detect food products even when imperceptible variations occur, ensuring consistency of package contents.
Preventing packaging errors
Food products that do not match the unique color and geometry are repurposed, preventing packaging errors. This ensures that customers are not faced with unpleasant surprises and that manufacturers avoid costs related to recalls and reputation.
3D inspection of finished product and packaging
Defect detection and surface validation Identification of cakes, individual cakes, candies and cookies Checking the height of the icing Checking volume and flatness
Quality inspection of chocolate boxes
Compliance with strict standards Identification of physical defects Identification of irregularities
Automated Meat and Poultry Inspection
Accuracy during visual classification of already packaged meat Visual identification of plastic or polystyrene foam Rapid detection of physical contamination elements
Detection of the subtlety and variability of possible defects as well as variation in acceptable appearance Achieving a level of quality that cannot be matched by other types of visual inspection
Inspection of coffee beans
Identification of batches of grains confirmed before their inventory Verification of detection of physical contaminants, such as plant matter, stones, etc. Acceptance of variation in overall differences between coffee bean varieties
Detect volume and portion errors to maximize yield and reduce waste Measuring the volume of food products during assembly to check portion size
Foreign body detection
Intervention of contamination and foreign bodies, e.g. air pockets, dust, particles, hairs, etc. Defect detection in high-speed production environments Locate, analyze and classify complex contamination issues in real-time to prevent contact of contaminants in the supply chain on high-volume lines
Inspection and sorting of nuts
Distinction between acceptable forms and unacceptable states Rapid classification of nuts as acceptable or unacceptable Neither manual inspection nor other forms of machine vision can achieve the same speed and accuracy in this task
Verification of product uniformity
Identification of packet patterns and stamps, despite changes in orientation, angle, lighting, etc. Rejection of damaged and broken products before packaging or distribution