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Ensuring Safe Jam-making for Delicious Results
Technology Category
- Analytics & Modeling - Computer Vision Software
Applicable Industries
- Food & Beverage
Applicable Functions
- Process Manufacturing
Use Cases
- Object Detection
Services
- Software Design & Engineering Services
The Challenge
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.
The Customer
AOHATA
About The Customer
Jam manufacturing company.
The Solution
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.
Operational Impact
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