In the coffee industry, controlling the quality of green beans has always been essential, yet it remains one of the most time-consuming and labor-intensive processes. Sorting out defective beans relies heavily on manual labor and is prone to inconsistency. Now, the avercasso AI Coffee Bean Sorter from listed tech company AVer Information is offering a breakthrough solution with innovative AI technology.
From Coffee Passion to a Revolutionary Product
AVer has long specialized in video conferencing cameras and educational technology. Its entry into the coffee industry was inspired by the CEO’s passion for coffee. After seeing barista friends spend countless hours hand-sorting beans, he envisioned applying imaging and AI technology to solve this pain point. That user-driven vision gave birth to the first-generation avercasso® AI Coffee Bean Sorter.
BEAN SUPER Testing: Impressive Precision
In hands-on testing, BEAN SUPER was impressed by avercasso’s performance:
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Accurate Defect Detection
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Tested with 400g of Brazilian Cerrado NY23 commercial beans, the sorter displayed the total bean count, good bean count, and NG (defective) ratio with clarity.
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Sorting results differed from manual picking by only 3%–5%, showing outstanding accuracy.
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Beans visibly defective or questionable to the naked eye were reliably identified.
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Remarkably, the sorter could even detect “borderline defects,” such as irregularly shaped beans or beans with surface wounds not yet infected—difficult for untrained eyes to judge.
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Breakthrough in Detecting Insect-Damaged Beans
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One of the toughest challenges for traditional sorting machines is identifying insect-damaged beans.
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With its 360° imaging technology, avercasso captures tiny defects such as boreholes and hairline cracks, which are nearly invisible to the naked eye.
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In testing, when 25 slightly insect-damaged beans were mixed into 1kg of green coffee, the AI successfully removed 24 of them—an exceptional performance.
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The Technology Behind AI Sorting
The high precision of avercasso is powered by advanced AI and big data:
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SCA Defect Standards — Recognition is based on Specialty Coffee Association (SCA) definitions of primary and secondary defects, such as full black beans, sour beans, and partial defects.
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Million-Image Database — With over 1 million training images, the AI has developed mature and reliable recognition capabilities.
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4K Camera with High-Speed Processing — As beans pass through, a 4K camera captures images and instantly classifies them. Quality beans flow through, while defective beans are ejected by precision air jets.
Conclusion: AI Ushers in a New Era of Coffee Quality Control
The avercasso AI Coffee Bean Sorter not only solves the long-standing challenges faced by roasters but also sets a new benchmark for efficiency and precision. Its exceptional ability to detect hard-to-spot defects—especially insect-damaged beans—marks a major step forward in quality assurance.
For a coffee industry striving to ensure quality from the source, this is undoubtedly a milestone on the path to excellence.