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Autonomous self-learning artificial intelligence intent system for access control

机译:自治自学习人工智能入门系统

摘要

One embodiment provides an access control system including access control sensors to detect actions performed in a vicinity of an access point, a verification sensor to verify access of the access point, and an electronic processor communicatively coupled to the access control sensors and the verification sensor. The electronic processor is configured to in response to an access intent model satisfying an accuracy condition, deploy the access intent model for the access point and receive a dataset indicating an action performed in the vicinity of the access point. The electronic processor is also configured to predict an access intent to access the access point by applying the access intent model to the dataset and enable access through the access point. The electronic processor is further configured to receive verification data indicating whether the access point is accessed, and automatically assign a label to the dataset based on the verification data.
机译:一个实施例提供了一种访问控制系统,包括访问控制传感器,以检测在接入点附近执行的动作,验证传感器以验证接入点的访问,以及通信地耦合到访问控制传感器和验证传感器的电子处理器。 电子处理器被配置为响应于满足精度条件的访问意图模型,为接入点部署访问意图模型,并接收指示在接入点附近执行的动作的数据集。 电子处理器还被配置为通过将访问意图模型应用于数据集来预测访问接入点的访问意图,并启用通过接入点访问。 电子处理器还被配置为接收指示访问点是否被访问的验证数据,并基于验证数据自动将标签分配给数据集。

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