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Eye state detection system and method of operating the same for utilizing a deep learning model to detect an eye state

机译:眼睛状态检测系统及其操作方法,以利用深度学习模型检测眼睛状态

摘要

An eye state detection system includes an image processor and a deep learning processor. After the image processor receives an image to be detected, the image processor identifies an eye region from the image to be detected according to a plurality of facial feature points, the image processor performs image registration on the eye region to generate a normalized eye image to be detected, the deep learning processor extracts a plurality of eye features from the normalized eye image to be detected according to a deep learning model, and the deep learning processor outputs an eye state in the eye region according to the plurality of eye features and a plurality of training samples in the deep learning model.
机译:眼睛状态检测系统包括图像处理器和深度学习处理器。在图像处理器接收到要检测的图像之后,图像处理器根据多个面部特征点从待检测图像中识别出眼睛区域,图像处理器对眼睛区域进行图像配准,以生成归一化的眼睛图像,用于深度学习处理器根据深度学习模型从要检测的归一化眼睛图像中提取多个眼睛特征,深度学习处理器根据多个眼睛特征输出眼睛状态。深度学习模型中的多个训练样本。

著录项

  • 公开/公告号US2020085296A1

    专利类型

  • 公开/公告日2020-03-19

    原文格式PDF

  • 申请/专利权人 ARCSOFT CORPORATION LIMITED;

    申请/专利号US201816217051

  • 发明设计人 PU ZHANG;WEI ZHOU;CHUNG-YANG LIN;

    申请日2018-12-12

  • 分类号A61B3/113;G06F3/01;G02B27/01;

  • 国家 US

  • 入库时间 2022-08-21 11:24:15

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