Abstract: Disclosed is an elevator system, including a hoistway; an elevator car in the hoistway; sensors in the hoistway operationally coupled to the elevator car and configured to capture sensor data indicative of a person being in the hoistway, and a processor configured to determine from the sensor data that the person is in the hoistway; and wherein the elevator car is configured to reduce speed or stop when the processor determines the person is in the hoistway.

Abstract: 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.

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.

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.

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.

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.

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.

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.

Abstract: A processor-implemented method for pushing a revision to an automated passenger conveying subsystem is provided. The processor-implemented method receives the revision over a network to make the revision available to one or more subsystems. An application executed on a processor of the network, then, receives a selection input identifying the automated passenger conveying subsystem of the one or more subsystems. In turn, the application sends a message to the automated passenger conveying subsystem based on the selection input. The message identifies that the revision is available for downloading and deployment. An exchange operation is executed to push the revision to the automated passenger conveying subsystem.

Abstract: 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.

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.