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Ensuring Safe Jam-making for Delicious Results
技术
- 分析与建模 - 计算机视觉软件
适用行业
- 食品与饮料
适用功能
- 流程制造
用例
- 物体检测
服务
- 软件设计与工程服务
挑战
在果酱和水果涂抹酱的制造中，有一个过程来消除材料中所含的异物和杂质。迄今为止，该检测都是通过人眼进行的，但存在员工身体负担过重、检测精度不一致等问题。由于原材料种类繁多，水果形状各异，因此这种检测过程的自动化被认为是极其困难的。
客户
青花
关于客户
果酱制造公司。
解决方案
尼康从 2015 年开始重复基础实验，开始联合开发异物和杂质自动检测系统。该公司测量了异物/杂质的原材料和样品的光谱反射特性，并选择了最容易区分两者的滤光片组合。此外，尼康利用深度学习（一种人工智能）来提高拍摄图像中异物和杂质的检测精度。
运营影响
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