Walnut inspection and sorting Credit: Cognex Corporation

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

Get a quote

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

Constant confidence

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

Zero compromise

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.

Find out how we can help you modernize your facilities to achieve your performance and profitability goals.

Related inspections in the agri-food sector

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

Find out more

Quality inspection of chocolate boxes

Compliance with strict standards Identification of physical defects Identification of irregularities

Find out more

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

Find out more

Chewing-gum inspection

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

Find out more

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

Find out more

Portioning inspection

Detect volume and portion errors to maximize yield and reduce waste Measuring the volume of food products during assembly to check portion size

Find out more

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

Find out more

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

Find out more

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

Find out more

Related products

In-Sight D900