SOFTWARE OR CONFIGURATION UPGRADE TO ELEVATOR COMPONENTS USING COGNITIVE SERVICES

    公开(公告)号:US20210331891A1

    公开(公告)日:2021-10-28

    申请号:US17100577

    申请日:2020-11-20

    Inventor: Appalaraju Marpu

    Abstract: A method of updating software on a conveyance system comprising a conveyance apparatus including: receiving a software update request to update software on the conveyance system; determining whether there are individuals located in or on the conveyance apparatus using at least one of data detected by a first detection device or sound data detected by a microphone; and updating the software on the conveyance system, when it is determined that there are no individuals located in or on the conveyance apparatus.

    Automatic software upgrade assistant for remote elevator monitoring experts using machine learning

    公开(公告)号:US11472663B2

    公开(公告)日:2022-10-18

    申请号:US16585488

    申请日:2019-09-27

    Abstract: A system for providing an automatic software upgrade assistant for remote elevator monitoring experts using machine learning. The system performs operations that include receiving a request from a requestor to install a software upgrade on a controller of an elevator component, the software upgrade dependent on at least one software program being installed on the controller. It is determined whether the at least one software program is installed on the controller. Based at least in part on determining that the at least one software program is installed on the controller: an elapsed time to complete the installation of the software upgrade on the controller is predicted; and an indication is output to the requestor that the software upgrade is permitted to be installed on the controller and the predicted elapsed time to complete the installation.

    AUTOMATICALLY SUPPORTING SOCIAL DISTANCING FOR CALL REQUESTS AND IDENTIFICATION OF WAITING PASSENGERS USING DEEP LEARNING AND MACHINE LEARNING

    公开(公告)号:US20220194736A1

    公开(公告)日:2022-06-23

    申请号:US17130327

    申请日:2020-12-22

    Inventor: Appalaraju Marpu

    Abstract: Provided are embodiments for identifying waiting passengers outside an elevator using deep learning and machine learning and automatically supporting social distancing for elevator passengers. Embodiments include receiving a call request from an elevator floor; capturing an image of the elevator floor registering the call request responsive to receiving the call request; and determining, from the image, a presence of one or more waiting passengers on the elevator floor registering the call request. Embodiments also include dispatching an elevator car to the elevator floor registering the call request; and controlling the elevator car based at least in part on determining the presence of the one or more waiting passengers.

    Automatic upgrade on total run count data on availability of new software

    公开(公告)号:US11016751B2

    公开(公告)日:2021-05-25

    申请号:US16432090

    申请日:2019-06-05

    Abstract: A method for automatically updating software of a computing device of a transportation device is provided herein. The method includes performing, by a server device, machine learning on run count performance data of the transportation device to determine a next idle time. The method includes publishing, by the server device, software availability information to the computing device of the transportation device with the next idle time. The method includes causing, by the server device, an automatic upgrade of the software of the computing device of the transportation device at the next idle time.

    ELEVATOR SYSTEM MANAGEMENT UTILIZING MACHINE LEARNING

    公开(公告)号:US20200055692A1

    公开(公告)日:2020-02-20

    申请号:US16535353

    申请日:2019-08-08

    Abstract: Systems and methods for operating an elevator system are provided. Aspects includes receiving, by a processor, a call request for an elevator car in an elevator system. Receiving sensor data from a plurality of sensors associated with the elevator car, wherein the plurality of sensors are configured to collect sensor data from one or more predefined areas associated with the elevator car. Determining an occupancy level in the elevator car based on a feature vector, generated by a machine learning model, comprising a plurality of features extracted from the sensor data and operating, by the processor, the elevator car based at least in part on the occupancy level.

    Elevator system management utilizing machine learning

    公开(公告)号:US12043515B2

    公开(公告)日:2024-07-23

    申请号:US16535353

    申请日:2019-08-08

    CPC classification number: B66B1/2408 G06N20/00 B66B2201/222

    Abstract: Systems and methods for operating an elevator system are provided. Aspects includes receiving, by a processor, a call request for an elevator car in an elevator system. Receiving sensor data from a plurality of sensors associated with the elevator car, wherein the plurality of sensors are configured to collect sensor data from one or more predefined areas associated with the elevator car. Determining an occupancy level in the elevator car based on a feature vector, generated by a machine learning model, comprising a plurality of features extracted from the sensor data and operating, by the processor, the elevator car based at least in part on the occupancy level.

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