green coffee automatic inspection

QSorter® Explorer

Automated sorting machine with a red and white exterior, multiple metal bins, and a monitor on top, labeled 'Sorter Explorer'.

a new green coffee AI quality language

Bean-by-bean measurement of physical and biochemical properties

  • 100 grams in less than 3 minutes, bean by bean

  • Detection of 27 defects and 15 screen sizes

  • Moisture, color, protein, sucrose, and lipids data

  • Reports in SCA, COB, GCA, NY or any other standard

  • Data in SQI2 Google Cloud or seamless API integration

  • 24/7 remote assistance and dedicated web customer area

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bean by bean quality inspection

Grade green coffee samples, bean by bean, in less than 5 minutes with the QSorter®, the only AI robot for the physical and biochemical quality analysis of coffee. Combining 3D Imaging, high-resolution Near Infrared Spectroscopy and AI - Machine Learning algorithms, the QSorter® detects 27 visual defects and 15 size classes including peaberry screens, it analyses color, moisture and other biochemical elements. 

A table and chart showing sample highlights of a material analysis. The table lists defect percentages, moisture level, and sample size. The chart is a doughnut chart with yellow and red sections, indicating primary and secondary defects, totaling 11.0.

Reports can be accessed from anywhere online through the SQI2 Google Cloud, downloaded in PDF or EXCEL format, or integrated via API in any IT system.

Bar chart showing the weight of different materials, with 'Immate' at 4.2 grams, 'Insect Light' at 1.3 grams, 'Insect Severe' at 0.9 grams, and 'Sour' at 0.2 grams.

The AI machine learning algorithms detect the presence of 27 different types of defects and foreign matter to make sure that all coffees of the world can be tested at any step of the processing or of the value chain.

The quality reports can be translated immediately in any grading standard such as SCA, GCA, ISO, COB, NY. Users are also allowed to create their own proprietary standard with just a few clicks.

Collection of logos for various brands including Coop US, Dubai Multi Commodities Centre, Nespresso, N, Starbucks Coffee, Suntory, and others.
A worker using a sorter machine labeled 'Sorter Explorer', scanning a card while viewing a screen showing data, in a controlled environment.

The QSorter® is the only robot on the market that also allows biochemical analysis of the samples. Understanding the deviations helps preserve the lots for a longer time. Data about proteinsucrose, and fats can be utilised to study cup profiles with a more rigorous approach.

Bar graph titled 'Size Distribution (All Beans with Flat and Moca Screens)' showing weight fractions of beans across various screen sizes. The x-axis lists sizes from less than 12/64 inch to 20/64 inch or greater. The y-axis denotes weight fraction percentages. The tallest bar at 17/64 inches indicates the highest weight fraction, followed by 16/64 inches. The bars are color-coded, with green representing the total distribution, red for defect inclusion, and light green for defect exclusions.
Screenshot of a color analysis report showing histograms, average color values, and a color scatter plot. The report includes data on mean color, red, green, and yellow values, with a color chart illustrating the distribution of colors from blue to yellow, green, and red.
A table showing biochemical properties including moisture, protein, sucrose, and total fat percentages.

Inspect with confidence

Gain agility during harvest

Consistent and repeatable results

Analyse quality data trends

Trade transparently

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high volume coffee sorting

QSorter® Horizon - Up to 3’000 beans per second

The most important value-determining quality of coffee is how a cup tastes. Although roasting, grinding, and brewing strongly impact the final sensory profile, the most they can do is enhance what is provided by that incredible base material: green coffee beans.

Select Green Beans by Roast Level

The QSorter® technology can select green coffee beans based on a prediction of how the roasting would be at a later stage. This means that such knowledge would be available before the actual roasting happens. 

Most of the aromatic qualities, that you enjoy in your morning cup, are created during the roasting process via a conversion of precursor biochemicals within the green beans. For example, unripe green beans are the result of a lack of an adequate maturing process. A variant of this defect is known as Quakers, which translates into coffee beans that have a pale appearance after roasting and a poor taste.

Properties

  • Off-taste removal

  • Maturity level

  • Roast level

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