A passenger tracking system includes a multiple of sensors for capturing depth map data of objects. A processing module in communication with the multiple of sensors to receive the depth map data, the processing module uses the depth map data to track an object and calculate passenger data associated with the tracked object to generate a passenger tracking list that tracks each individual passenger in the passenger data from an origin lobby to a destination lobby and through an in-car track between the origin lobby and the destination lobby.

A passenger tracking system includes a multiple of sensors for capturing depth map data of objects. A processing module in communication with the multiple of sensors to receive the depth map data, the processing module uses the depth map data to track an object and calculate passenger data associated with the tracked object to generate a passenger tracking list that tracks each individual passenger in the passenger data from an origin lobby to a destination lobby and through an in-car track between the origin lobby and the destination lobby.

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.

An elevator vandalism monitoring system is configured to determine if an act of vandalism upon a component of an elevator system has occurred. The vandalism monitoring system includes a sensor, a processor, an electronic storage medium, a model, and a comparison module. The sensor is configured to monitor a detectable parameter associated with the component, and output a detectable parameter signal. The processor is configured to receive the detectable parameter signal. The model is stored in the electronic storage medium, and is associated with an expected parameter. The comparison module is executed by the processor, and is configured to generally compare the model to the detectable parameter signal for determining if a parameter anomaly exists.

On-site getting in and out data including the number of people who got in the elevator in the past is created, virtual getting in and out data including the number of people who get in the elevator is created by making people who arrive at a landing of the elevator virtually appear and simulating operation of the elevator on the basis of the number of people who appear, a first conversion model for converting the virtual getting in and out data before a certain time point into the number of people who appear after the certain time point and a second conversion model for converting the virtual getting in and out data after a certain time point into the number of people who appear before the certain time point are created on the basis of the number of people who appear and the virtual getting in and out data, a prediction model for predicting the number of people who appear after a certain time point from the number of people who appear before the certain time point is learned on the basis of the number of people who appear converted by the second conversion model, and the number of people who appear after a certain time point is predicted from the on-site getting in and out data before the certain time point by using the first conversion model and the prediction model.

A vertical bounce detection system of an elevator system includes at least one sensor operable to detect vertical movement of an elevator car in a hoistway. The vertical bounce detection system also includes a processing system communicatively coupled to the at least one sensor and a memory system having instructions stored thereon that, when executed by the processing system, cause the vertical bounce detection system to determine a bounce energy level of the elevator car based on sensor data from the at least one sensor. The instructions further cause the vertical bounce detection system to compare the bounce energy level to a bounce condition threshold. A speed reduction of the elevator car is commanded to continue movement of the elevator car at a reduced speed based on determining that the bounce energy level exceeds the bounce condition threshold.

An elevator access control system comprises at least two cameras (14, 16) including: a first camera (14) which is configured to be mounted to an elevator car (6) for capturing at least one first picture of persons residing within the elevator car (6), and a second camera (16) which is configured to be mounted to the elevator car (6) for capturing at least one second picture of persons residing within the elevator car (6). The at least one first picture allows to identify individual persons, and the at least one second picture allows to count the number of persons residing within the elevator car (6).

According to an aspect, there is provided a control device. The control device is configured to receive data from a passenger traffic system configured in a building, the data comprising information associated with operations for transferring passengers of the passenger traffic system; based on the received data, monitor a change in a quality of service level of the passenger traffic system in transferring the passengers and a change in a passenger traffic pattern in transferring the passengers in the passenger traffic system; and in response to detecting the change in the service level or in the passenger traffic pattern, run one or more simulations of the passenger traffic in the passenger traffic system in the at least one building using the received data in order to trigger at least one operation to change a configuration of the passenger traffic system.

A notification control device includes an attribute identification unit configured to identify a physical attribute of a user who uses an elevator, and a notification control unit configured to control, based on the physical attribute identified by the attribute identification unit, a notification speed at which information is provided by a notification device installed in a car in which the user having the identified physical attribute is to ride.

One embodiment provides a method for optimizing schedules of a plurality of elevators in a building having a plurality of floors, including: receiving, from a user, an indication requesting that an elevator from the plurality of elevators stop at a particular floor, wherein each of the plurality of elevators has a schedule comprising floors where the elevator will stop; identifying the number of users in the elevator waiting area of each of the particular floors where an indication requesting a stop has been received; and updating, in view of the identified number of users at each of the particular floors, the schedule for the plurality of elevators to optimize the stops for the plurality of elevators, wherein the updating comprises dynamically routing the plurality of elevators upon (i) receipt of indications and (ii) identification of the number of users at each of the particular floors.