首页> 外国专利> Laver commercialization and quality control system using artificial intelligence-based classification and Method for the system

Laver commercialization and quality control system using artificial intelligence-based classification and Method for the system

机译:利用基于人工智能的基于人工智能分类和系统的紫菜商业化和质量控制系统

摘要

The laver classification method of the artificial intelligence-based laver classification system includes the steps of obtaining an image of dried laver in a standardized form, inputting the obtained image into a neural network model trained to classify laver according to a predetermined classification criterion, a neural network model It may include outputting the state value of the determined laver and classifying the dried laver according to the state value of the laver. According to the present invention, classification can be performed more efficiently and objectively than the method of automatically classifying seaweed according to the quality of seaweed through artificial intelligence and broiling seaweed with the naked eye.
机译:基于人工智能的紫菜分类系统的紫菜分类方法包括以标准化形式获得干燥紫菜的图像的步骤,将所获得的图像输入到培训的神经网络模型中,以根据预定的分类标准来分类紫菜,是一种神经网络 网络模型可以包括输出确定的紫菜的状态值并根据紫菜的状态值对干燥的紫菜进行分类。 根据本发明,可以更有效地且客观地进行分类,而是根据通过人工智能和肉眼烧结海藻的质量自动对海藻进行自动对海藻进行分类。

著录项

  • 公开/公告号KR102287954B1

    专利类型

  • 公开/公告日2021-08-06

    原文格式PDF

  • 申请/专利权人

    申请/专利号KR1020200058197

  • 发明设计人 강병진;

    申请日2020-05-15

  • 分类号G01N21/88;A23L17/60;A23L27/14;A23L5/10;G06N20;

  • 国家 KR

  • 入库时间 2022-08-24 20:27:55

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