Nikon Case Studies Ensuring Safe Jam-making for Delicious Results
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Ensuring Safe Jam-making for Delicious Results

Analytics & Modeling - Computer Vision Software
Food & Beverage
Process Manufacturing
Object Detection
Software Design & Engineering Services

In jam and fruit spread manufacturing, there is a process to eliminate foreign objects and impurities contained in the materials. Until now, that inspection has been conducted by human eyes, however, there were several issues such as the heavy physical burden on employees and inconsistent detection accuracy. Due to the wide variety of raw materials and differing shapes of fruits, it was considered extremely difficult to automate this inspection process.

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Jam manufacturing company.

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Nikon repeated a basic experiment from 2015 and started joint development of an automatic inspection system for foreign objects and impurities. The company measured the spectral reflectance characteristics of raw materials and samples of foreign objects/impurities, and selected the combination of optical filters that could most easily distinguish between the two. Also, Nikon utilized deep learning, a type of AI, to improve the detection accuracy of foreign objects and impurities from taken images.

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[Process Optimization - Real Time Monitoring]

For the first time in the industry, Nikon realized effective automatic inspection of foreign objects and impurities in jam and fruit spread manufacturing. By introducing this foreign material inspection system, AOHATA Corporation achieved both improvement of detection accuracy and reduced burden on the workforce.

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