Disclosed is an elevator system including a controller, wherein the controller is configured for: engaging in a first communication with a facial recognition system that identifies a pet and a first person as owner of the pet, and rendering a plurality of determinations from the first communication, including: a first determination that the pet is proximate a first elevator lobby in a building, a second determination to provide instructions to a first elevator car responsive to the first communication, and engaging in a second communication with the first elevator car for effecting the second determination.

A method and system for controlling a movable door associated with a passenger compartment, the door moveable between an opened position and a closed position configured to provide access to, or egress from, the passenger compartment. The method includes monitoring a landing area of the elevator door with at least one sensor, and determining a level of urgency of an approaching passenger based on the information from the at least one sensor. If the level of urgency exceeds a predetermined threshold, modifying a closing of the elevator door based on the level of urgency. The method may also include modifying a closing speed of the elevator door if the level of urgency exceeds a predetermined threshold.

An illustrative example method of controlling an elevator system includes detecting a number of passengers waiting for elevator service at a landing, detecting an available passenger capacity of a plurality of elevator cars, respectively, and assigning at least one of the elevator cars to travel to the landing to provide elevator service to the passengers based on the detected number of passengers and the available passenger capacity of the at least one of the elevator cars.

In the present invention, a process of receiving an image obtained by capturing a measurement target place with a camera, calculating a number of people in the measurement target place based on the image received, and allocating a car according to the calculated number of people is performed. Here, when an abnormality that an image from the camera cannot be received is determined, a process of referring to a detection value of a sensor or the like installed in a car or in the measurement target place to calculate the number of people in the car or the measurement target place is performed.

A control system for controlling motion of elevators of a bank of elevators uses a neural network trained for an extended destination prediction of a person based on a partial trajectory of the person to produce a multinomial of the extended destination prediction. The multinomial has at least two dimensions including a first dimension of destinations of the person and a second dimension of time intervals of the person arriving at the destinations of the first dimension. The control system optimizes a schedule of the bank of elevators based on the multinomial, and further controls the bank of elevators according to the schedule.

Embodiments include a system and method for controlling doors in a multi-door system. Embodiments a controller configured to control the multi-door system, wherein the multi-door system includes a first door and a second door, wherein the first door is on a different side than the second door, and one or more sensors operably coupled to the multi-door system and the controller, wherein the one or more sensors are configured to detect one or more conditions. The controller includes a processor, wherein the processor is configured to receive an input from the one or more sensors, wherein the input comprises at least one of call information and crowd sensing information, responsive to the input, prioritize an operation of the first door and the second door based at least in part on the input, and operate the first door and second door based on the prioritization.

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.

According to an aspect, there is provided an elevator communication system. The system comprises an elevator controller, a multi-drop ethernet bus segment reachable by the elevator controller, and a plurality of elevator system nodes connected to the at least one multi-drop ethernet bus segment configured to communicate via the multi-drop ethernet bus, wherein the elevator controller is reachable by the elevator system nodes via the multi-drop ethernet bus segment.

Embodiments of systems and methods for digital control of elevator and other access gateways are described herein. More specifically, embodiments comprise systems and methods for retrofitting or outfitting elevator systems with digital control systems that can be universally applied to virtually every manufacturer's elevator systems.

A method for intelligent control of an elevator to give priority to a floor containing the total highest priority of passengers acquires first images taken by first cameras, identifies targets in the first images, and determines priority levels of the targets. In response to receiving a plurality of first service signals from a number of floors in a building, the method controls a driving unit to drive an elevator to move to service the passengers as targets with a highest total priority level according to individual priority levels of the targets within a group of passengers waiting on each floor of the building.