A new solution is emerging to tackle a common problem in coffee production: stones mixed with coffee beans. These stones can cause significant damage to grinders, leading to costly repairs and downtime. Researchers from the Singapore University of Technology and Design have developed an innovative method that uses sound to detect stones before they cause harm. By placing a microphone inside the grinder, their system captures the unique sounds produced by stones, which differ from those of coffee beans.
• The method employs an algorithm called empirical mode decomposition (EMD) to analyze sound signals.
• It uses field programmable gate arrays (FPGA) for real-time data processing, making it suitable for smaller coffee businesses.
• Tests show near-perfect accuracy in identifying stones, although smaller fragments remain a challenge.
• The technology is easy to integrate into existing machines, offering a cost-effective solution for cafés.
This advancement is crucial for the coffee industry, as it helps maintain grinder efficiency and longevity. By preventing damage, cafés can reduce downtime and improve overall operations, benefiting both small businesses and coffee lovers alike.
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