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APPLYING IMAGE ANALYTICS AND MACHINE LEARNING TO LOCK SYSTEMS IN HOTELS

机译:应用图像分析和机器学习来锁定酒店中的系统

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:接收描述至少部分基于凭证的,描述在访问控制设备处执行的访问动作的数据。对于每个访问动作,该数据包括访问动作的描述,时间戳和提供凭据的人员的图像。分析数据以识别访问模式。确定提供凭证的人的面部特征。凭证与面部特征相关。至少部分地基于面部识别和面部特征,检测到人接近访问控制设备。基于访问的检测和访问模式,在访问控制设备上执行访问操作,其中使用面部识别代替凭据来提供执行访问操作的授权。

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