Verification of packaging correspondence

Defect detection and surface validation Identification of cakes, individual cakes, candies and cookies Checking the height of the icing Checking volume and flatness

Compliance with strict standards Identification of physical defects Identification of irregularities

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

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

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

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

Identification of packet patterns and stamps, despite changes in orientation, angle, lighting, etc. Rejection of damaged and broken products before packaging or distribution

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