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
Detect quality nuts to place on chocolates.
Unrivaled precision in nut selection
Top quality guarantee
Using Cognex AI-based technology, the classification tool is able to quickly distinguish between acceptable nuts and those that are damaged or broken, taking into account extreme variability in shape, color and texture. This precision ensures that only intact and acceptable nuts are selected and placed on the chocolates, avoiding costly errors and maintaining customer satisfaction.
Exceptional speed and efficiency
The part locator tool, trained on a set of images of acceptable nuts, can quickly and accurately locate those nuts as they move down the conveyor, regardless of the presence and number of other nut pieces . This speed and efficiency is impossible to achieve with manual inspection or other forms of machine vision, improving productivity significantly.
Reduction of rejections and protection of reputation
By eliminating the placement of wrong-way or damaged nuts on chocolates, you avoid costly rejections and ensure customer satisfaction. This preserves your brand reputation by providing consistent quality products.
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
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