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
Grade coffee beans to ensure the correct varieties are used in blends
Unrivaled sorting accuracy
Top quality guarantee
Our AI-powered technology is able to quickly and accurately differentiate between different colors, sizes and textures of coffee beans, even within the same variety. This ensures that each type of bean is sorted precisely, eliminating the risk of mixing bean varieties, which could alter the flavor profile of the final product and dissatisfy customers.
AI-based technology easily adapts to new coffee bean varieties without requiring complex programming. Simply provide her with a set of images of the new variety so she can recognize and sort it correctly. This allows coffee roasters and distributors to innovate by creating new blends without hassle.
Reliable detection of impurities
Our defect detection tool quickly and efficiently spots physical contaminants such as plant matter, stones and other unwanted materials. This ensures that only premium coffee beans are included in the blends, improving the overall quality of the final product and customer satisfaction.
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
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