MDL- CROWD NOTIFICATION: CROWD TRACKINGAND NOTIFICATION USING IOT-BASED MACHINE,DEEP LEARNING PROGEAMING

Fecha de publicación: 22/05/2020
Fuente: Wipo "IOT"
MDL- Crowd Notification: CROWD TRACKINGAND NOTIFICATION USING IOT-BASED MACHINE,DEEP LEARNING PROGEAMINGABSTRACTThe invention “MDL- Crowd Notification “ A technology and process are described for performing asset and user tracking. For example, one embodiment of a system comprises: an Internet of Things (IoT) device or hub (“IoT device/hub”) comprising authorized user detection logic to detect a security IoT device of a user in wireless proximity to the IoT device/hub, the IoT device/hub to be affixed or integrated within a data processing asset; location detection logic to determine a current location of the IoT device/hub based on signals received from one or more wireless devices within its wireless range; wherein the authorized user detection logic is to arm the location detection logic upon detecting that the security IoT device has moved out of wireless proximity to the IoT device/hub; and wherein the location detection logic is to generate an alert and/or notification after being harmed by the authorized user detection logic upon detecting that the IoT device/hub has moved outside of a designated protected location, the alert and/or notification being transmitted from the IoT device/hub to an IoT service. The invention also IoT development and adoption has been slow due to issues related to connectivity, power, and a lack of standardization. For example, one obstacle to IoT development and adoption is that no standard platform exists to allow developers to design and offer new IoT devices and services. In order enter into the IoT market, a developer must design the entire IoT platform from the ground up, including the network protocols and infrastructure, hardware, software and services required to support the desired IoT implementation. As a result, each provider of IoT devices uses proprietary techniques for designing and connecting the IoT devices, making the adoption of multiple types of IoT devices burdensome for end users. Another obstacle to IoT adoption is the difficulty associated with connecting and powering IoT devices. Connecting appliances such as refrigerators, garage door openers, environmental sensors, home security sensors/controllers, etc. for example, requires an electrical source to power each connected IoT device, and such an electrical source is often not conveniently located. The problem which exists is that the wireless technologies used to interconnect IoT devices such as Bluetooth LE are generally short range technologies. Thus, if the data collection hub for an IoT implementation is outside the range of an IoT device, the IoT device will not be able to transmit data to the IoT hub (and vice versa). Consequently, techniques are needed which would allow an IoT device to provide data to an IoT hub (or other IoT device) which is out of range.