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.

A method and system for controlling elevator dispatch is provided. User data, including user behavior, is collected from a number of users over a specified time period. Elevator use data for a number of elevators in a building is also collected over the specified time period. Applying the user data and elevator use data, an elevator dispatch model is constructed that predicts future elevator use according to predicted user needs. An elevator control system dispatches the elevators according to the dispatch model. The elevator dispatch model is refined according to feedback data collected from users over a subsequent time period.

Methods and systems for controlling elevator systems are provided. The methods include receiving inputs from at least one interactive input device, wherein the inputs include elevator call requests, tracking one or more people located within a monitored area using at least one sensor, assigning elevator assignments to the one or more people based on at least one of the inputs from the at least one interactive input device and a grouping algorithm based on the tracking of the one or more people, and scheduling operation of at least one elevator car based on the elevator assignments.

Processes, apparatuses, and systems associated with usage and contextual-based elevator operations management are disclosed herein. The operations management system may have the capability to learn and to constantly adapt to usage patterns on a temporal basis through continuous monitoring of elevator journeys. In embodiments, an elevator journey may include a start and termination floor for an individual. This data may be used to predict patterns of usage and maybe used, for example, to optimize the number of elevators operational at any time, determine the optimal parking position of each elevator, and/or determine an efficient allocation of elevators to groups or related floors. Other embodiments may be described and/or claimed.

Systems, computer-implemented methods, and computer program products that can facilitate elevator analytics and/or elevator optimization components are provided. According to an embodiment, a system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise a prediction component that can predict a current destination of an elevator passenger based on historical elevator usage data of the elevator passenger. The computer executable components can further comprise an assignment component that can assign the elevator passenger to an elevator based on the current destination.

A method and an apparatus for allocating an elevator of an elevator system are described. In the solution, image data associated with an area associated with a plurality of elevators is obtained. An automated guided vehicle is detected based on the image data. Parameter data associated with the automated guided vehicle is determined based on the image data. Information indicating a destination floor for the automated guided vehicle is obtained and an elevator car is allocated for the automated guided vehicle by taking into account at least the parameter data and the destination floor. Information identifying the allocated elevator car is caused to be transmitted to the automated guided vehicle.

An elevator operation managing device capable of reducing a switching of passengers at a time of getting on and getting out of a car. The elevator operation managing device includes an in-car position acquisition unit and a car allocation acquisition unit. The in-car position acquisition unit obtains an in-car position of a user based on layout information and a congestion degree obtained in a congestion degree acquisition unit. The car allocation acquisition unit performs a car allocation to allocate the user to the car based on a received boarding floor and destination floor and the in-car position obtained in the in-car position acquisition unit.

A smart multi-car elevator system, comprising at least two hoistways, a switch mechanism, a power mechanism and multiple cars; the hoistways are internally provided with rails for the movement of the cars, the switch mechanism is provided between adjacent hoistways, the position of the cars being switched, by means of the switch mechanism, between the adjacent hoistways; the perform, driven by the power mechanism, upward or downward movement within the hoistways or switch movement between the hoistways, and the cars are driven by the power mechanism to stop at any floor for people to get in or get out the elevator. The smart multi-car elevator system is provided with multiple individually running cars within one hoistway, improving the conveying efficiency and effectively saving the building space and building cost.

Embodiments herein relate to an elevator system of a facility with multiple floors. The elevator system can comprise elevator cars and an elevator controller. The elevator controller includes a memory and a processor. The memory stores computer program instructions executable by the processor to cause the elevator system to determine a current utilization of the elevator system, automatically activate an adaptive split group operation on a per floor basis when the current utilization of the elevator system is greater than a threshold utilization of the elevator system, and dispatch the elevator cars under the adaptive split group operation in accordance with elevator calls.

Processes, apparatuses, and systems associated with usage and contextual-based elevator operations management that have the capability to learn and to constantly adapt to usage patterns on a temporal basis through continuous monitoring of elevator journeys. An elevator journey may include a start and termination floor for an individual. Elevator journey data may be used to predict patterns of usage and maybe used, for example, to optimize the number of elevators operational at any time, determine the optimal parking position of each elevator, and/or determine an efficient allocation of elevators to groups or related floors.