- Detect volume and portion errors to maximize yield and reduce waste
- Measuring the volume of food products during assembly to check portion size
3D displacement sensors examine portion dimensions before packaging.
Unrivaled precision in portioning
Top quality guarantee
Machine vision solutions, combined with Cognex 3D motion sensors, provide exceptional accuracy in measuring the volume of food products during assembly. This ensures that portions are equal and accurate, avoiding customer disappointment and preserving the manufacturer's reputation. Accurate detection of volume and portion errors helps maximize yield and reduce waste, while maintaining consistency.
Savings time and effort
With 3D calibration, manufacturers can easily set the desired portion size and cutting points during the processing process. Factory-calibrated Cognex 3D displacement sensors enable efficient 3D inspection of food products. This simplifies visual inspection and volumetric measurement, saving time and effort while ensuring uniform portions.
Improved quality and consistency
Cognex 3D laser displacement sensors precisely measure the dimensions of each portion to ensure they meet specifications. This results in an overall improvement in the quality and consistency of food products, thereby strengthening customer satisfaction and brand loyalty.
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
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
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
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