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    • 4. 发明公开
    • GLOBAL TRACKING DEVICE SYSTEMS
    • US20240362994A1
    • 2024-10-31
    • US18242482
    • 2023-09-05
    • PB, Inc,
    • Daniel J DaouraPawel KazimierowiczKal Karel LambertRadoslaw SajdakDamian SmelaMarina MarquesNicholas Gutraich
    • G08B25/10G08B25/08G08C17/02
    • G08B25/10G08B25/08G08C17/02G08C2201/20G08C2201/91
    • Using synergic AI in multi-layered radio networks, a global location service based on remote learning has been realized by a system for coupling the BTx devices of the IOT to the IP Packet Data network that powers the Internet. In a first embodiment, a smart device is configured as a radio proximity-actuated “community nodal device” by an “App” that operates as part of the system. The community nodal device is given instructions to function as a “soft switch” to automatically “upswitch” local area Bluetooth®, Wi-Fi®, or 6LoWPAN “messages” (and radio contact logs received from endpoint nodes that represent IOT radio signal topology) to a cloud-based server, where the messages are interpreted for the benefit of a particular user or a community of users, and commands may be transmitted for execution to a remote device or a network of endpoint nodes. The commands may be user-specific if a message contains or pertains to a user identifier, but also may be community-specific, based on the generic character and content of a message, the pattern of messages, the tempo of messaging, or a community identifier in the fields of the message. The AI or machine learning resource exports a predictive algorithm to the end nodes in a process termed here “distributed AI platform”, integration with the end node's dataset and user profile. The end nodes then provide feedback to the cloud host that scores the algorithmic performance based on realworld location-based services and outcomes over a 2 week or 2 month timeline. A poly-radio satellite transceiver, with multiple form factors for plug-in BTx/Wi-Fi installation, powered by PoE or battery, is introduced to support the new infrastructure, which challenges the value proposition of Email, SMS, WhatsApp, LinkedIn, WeChat, AppleTalk, and other network instruments, in scaling user adoption.