Otis Elevator Company

Appalaraju Marpu

Amit Keshri

Ravikiran Singaraju

Naveen Kumar Yeddi

Vinod Vejandla

Madhavaraju Nadimpalli

Madhavi Mothukuri

Gopala Rao Vulli

Ashok Kumar Prakash

Anup Sinha

Veeranjaneyulu Manyam

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

A method for elevator passenger detection including: capturing an image of an elevator passenger approaching an elevator bank to board an elevator car; determining that the elevator passenger is pregnant or disabled in response to the image of the elevator passenger; registering a priority elevator call for the elevator passenger that is pregnant or disabled; and moving the elevator car to the floor landing where the elevator passenger that is pregnant or disabled is located.

Automatic method of detecting visually impaired, pregnant, or disabled elevator passenger(s)

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.

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

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.

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

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Telangana, India

Appalaraju Marpu