首页> 外国专利> APPLYING IMAGE ANALYTICS AND MACHINE LEARNING TO LOCK SYSTEMS IN HOTELS

APPLYING IMAGE ANALYTICS AND MACHINE LEARNING TO LOCK SYSTEMS IN HOTELS

机译:应用图像分析和机器学习锁定酒店的锁定系统

摘要

A method of using image analytics and machine learning in a lock system includes receiving data describing access actions that are performed at an access control device based at least in part on a credential. The data includes, for each access action, a description of the access action, a timestamp, and an image of a person presenting the credential. The data is analysed to identify patterns of access. Facial characteristics of the person presenting the credential are identified. The credential is associated with the facial characteristics. It is detected, based at least in part on facial recognition and the facial characteristics, that the person is proximate to the access control device. An access action is performed at the access control device based on the detecting and the patterns of access, where the facial recognition is used in place of the credential to provide authorization to perform the access action.
机译:在锁定系统中使用图像分析和机器学习的方法包括接收描述在访问控制设备上基于凭证的访问控制设备执行的访问动作的数据。对于每个访问动作,数据包括访问动作的描述,时间戳和呈现凭证的人的图像。分析数据以识别访问模式。确定了赠送凭证的人的面部特征。凭证与面部特征相关联。它至少部分地基于面部识别和面部特征来检测,该人靠近访问控制装置。基于检测和访问模式在访问控制设备处执行访问动作,其中使用面部识别来代替凭证以提供授权以执行访问动作。

著录项

  • 公开/公告号US2021201609A1

    专利类型

  • 公开/公告日2021-07-01

    原文格式PDF

  • 申请/专利权人 CARRIER CORPORATION;

    申请/专利号US201917057129

  • 申请日2019-07-10

  • 分类号G07C9;G06K9;G07C9/25;G07C9/23;

  • 国家 US

  • 入库时间 2022-08-24 19:42:08

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