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    • 5. 发明申请
    • PRODUCT MANAGING SYSTEM AND METHOD USING RFID TECHNOLOGY
    • 使用RFID技术的产品管理系统和方法
    • US20090256682A1
    • 2009-10-15
    • US12478779
    • 2009-06-05
    • Mengru (Arthur) TuJen-Yau KuoKuo-Shu LoCheng-Wei HuangLi-Dien Fu
    • Mengru (Arthur) TuJen-Yau KuoKuo-Shu LoCheng-Wei HuangLi-Dien Fu
    • H04B7/00
    • G06Q10/087
    • A product managing system and method using RFID technology is provided. The product managing system includes an RFID tag, an RFID reader, and a server. The RFID tag is set on a product for providing a tag ID, an object type and attribute, and an event content. The RFID reader reads the RFID tag. The server obtains various information provided by the RFID tag set on the product from the RFID reader, determines the product ID according to the tag ID, determines a class of the product and whether the product is correctly combined with another product according to the object type and attribute, and determines whether a processing procedure of the product is correctly conducted according to the event content. The server finally determines whether the product is normal according to the aforementioned determinations.
    • 提供了使用RFID技术的产品管理系统和方法。 产品管理系统包括RFID标签,RFID读取器和服务器。 RFID标签设置在产品上,用于提供标签ID,对象类型和属性以及事件内容。 RFID阅读器读取RFID标签。 服务器从RFID阅读器获取产品上的RFID标签提供的各种信息,根据标签ID确定产品ID,根据对象类型确定产品的类别以及产品是否与其他产品正确组合 属性,并根据事件内容确定产品的处理过程是否正确进行。 根据上述确定,服务器终于确定产品是否正常。
    • 9. 发明授权
    • Object tracking system, method and smart node using active camera handoff
    • 使用有源摄像机切换的物体跟踪系统,方法和智能节点
    • US08218011B2
    • 2012-07-10
    • US12544392
    • 2009-08-20
    • Sung-Ping ChengLih-Guong JangJen-Yau KuoJen-Hui Chuang
    • Sung-Ping ChengLih-Guong JangJen-Yau KuoJen-Hui Chuang
    • H04N7/18
    • H04N5/247G06K9/00771G06T7/292G06T2207/30196G06T2207/30232G08B13/19645
    • If an active smart node detects that an object leaves a center region of a FOV for a boundary region, the active smart node predicts a possible path of the object. When the object gets out of the FOV, the active smart node predicts the object appears in a FOV of another smart node according to the possible path and a spatial relation between cameras. The active smart node notifies another smart node to become a semi-active smart node which determines an image characteristic similarity between the object and a new object and returns to the active smart node if a condition is satisfied. The active smart node compares the returned characteristic similarity, an object discovery time at the semi-active smart node, and a distance between the active smart node and the semi-active smart node to calculate possibility.
    • 如果活动智能节点检测到对象离开边界区域的FOV的中心区域,则活动智能节点预测对象的可能路径。 当对象离开FOV时,主动智能节点根据可能的路径和相机之间的空间关系来预测对象出现在另一个智能节点的FOV中。 主动智能节点通知另一个智能节点成为半主动智能节点,该智能节点确定对象和新对象之间的图像特征相似性,并且如果满足条件则返回到活动智能节点。 主动智能节点将返回的特征相似性,半主动智能节点处的对象发现时间与主动智能节点与半主动智能节点之间的距离进行比较,以计算可能性。