SYSTEMS AND METHODS FOR VERIFICATION OF SECURITY TAG DETACHMENT
    7.
    发明申请
    SYSTEMS AND METHODS FOR VERIFICATION OF SECURITY TAG DETACHMENT 审中-公开
    用于验证安全标签分离的系统和方法

    公开(公告)号:WO2014164895A1

    公开(公告)日:2014-10-09

    申请号:PCT/US2014/023723

    申请日:2014-03-11

    Abstract: Systems (100) and methods (1400) for verifying a detachment of a security tag (108) from an article. The methods comprise: producing by a detaching unit (106) a first signal at a first frequency and a second signal at a second frequency when the security tag is in proximity thereto; generating, by a non-linear electrical circuit (504) of the security tag, a third signal from the first and second signals applied thereto; ceasing generation of the third signal by the non-linear electrical circuit when at least a first portion (306) of the security tag is moved a certain distance from the detaching unit; and determining by the detaching unit that the first portion of the security tag has been decoupled from a second portion (318) of the security tag when the third signal is no longer being generated by the non-linear electrical circuit.

    Abstract translation: 用于验证安全标签(108)与物品分离的系统(100)和方法(1400)。 所述方法包括:当所述安全标签位于其附近时,由分离单元(106)产生第一频率的第一信号和以第二频率的第二信号; 通过安全标签的非线性电路(504)产生来自施加到其上的第一和第二信号的第三信号; 当所述安全标签的至少第一部分(306)从所述分离单元移动一定距离时,停止由所述非线性电路产生所述第三信号; 以及当所述非线性电路不再产生所述第三信号时,由所述分离单元确定所述安全标签的第一部分已经与所述安全标签的第二部分(318)分离。

    PATTERN CLASSIFICATION SYSTEM AND METHOD FOR COLLECTIVE LEARNING
    9.
    发明申请
    PATTERN CLASSIFICATION SYSTEM AND METHOD FOR COLLECTIVE LEARNING 审中-公开
    模式分类系统和集体学习方法

    公开(公告)号:WO2009108256A2

    公开(公告)日:2009-09-03

    申请号:PCT/US2009000296

    申请日:2009-01-16

    CPC classification number: G06K9/209 G06K9/32 H04N7/181

    Abstract: A method for configuring a pattern recognition system begins by receiving object recognition data from at least one first local image processing system. The object recognition data is stored in at least one global database. Configuration data is determined for a second local image processing system based at least in part upon the received object recognition data from the at least one first image processing system, and then transmitted to the second local image processing system.

    Abstract translation: 用于配置模式识别系统的方法开始于从至少一个第一本地图像处理系统接收对象识别数据。 对象识别数据存储在至少一个全局数据库中。 至少部分地根据来自至少一个第一图像处理系统的接收到的对象识别数据为第二本地图像处理系统确定配置数据,然后发送到第二本地图像处理系统。

    END NODE PERSONAL DEFINITION AND MANAGEMENT
    10.
    发明申请
    END NODE PERSONAL DEFINITION AND MANAGEMENT 审中-公开
    结束节点个人定义和管理

    公开(公告)号:WO2015171616A1

    公开(公告)日:2015-11-12

    申请号:PCT/US2015/029250

    申请日:2015-05-05

    CPC classification number: H04W24/02 G05B19/418 H04L12/00 H04L12/6418 H04W84/18

    Abstract: Systems (100) and methods (200) for dynamically managing Functional Configurations ("FCs") of network nodes (104, 134-138). The methods involve performing operations by a First End Node ("FEN") in accordance with a first FC. FEN (104) has a first Software Module ("SM") stored thereon specifying the first FC. The first SM (122) comprises a total set of codes/functions which determine how a network node is to behave. The first EN detects a trigger event for triggering a transition from the first FC to a second FC. In response to the trigger event, the FEN automatically and dynamically obtains, from a remote network node (134, 136, 138 or 144), a second SM (124 or 126) that is different than the first SM. The first SM (stored on FEN) is then replaced with the second SM. The FEN executes the second SM such that it operates in accordance with the second FC.

    Abstract translation: 用于动态管理网络节点(104,134-138)的功能配置(“FC”)的系统(100)和方法(200)。 该方法包括根据第一FC执行第一端节点(“FEN”)的操作。 FEN(104)具有存储在其上的第一软件模块(“SM”),其指定第一FC。 第一SM(122)包括确定网络节点的行为的总的代码/功能集合。 第一个EN检测触发事件以触发从第一个FC到第二个FC的转换。 响应于触发事件,FEN自动并动态地从远程网络节点(134,136,138或144)获得与第一SM不同的第二SM(124或126)。 然后将第一个SM(存储在FEN中)替换为第二个SM。 FEN执行第二SM,使其按照第二FC运行。

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