An elevator control system including an elevator management system obtaining meeting information from at least one of a calendar system and a user interface; the elevator management system generating a control command in response to the meeting information; and an elevator controller controlling destinations of one or more elevator cars in response to the control command.

An elevator system including an elevator controller configured for: effecting a first communication with a mobile device to receive data from an electronic calendar that is activated on the mobile device, rendering a plurality of determinations from the first communication, including: a first determination that a first entry in the electronic calendar indicates that a passenger associated with the mobile device has a first scheduled event that occurs at a first scheduled time, a second determination to effect elevator service proximate to the first scheduled time to the passenger, and effecting a second communication with the elevator car to thereby effect the second determination.

A method for the call allocation in an elevator group uses a call allocation unit of an elevator group control. In the call allocation unit, passenger flow data of the elevator group is used to adapt call allocation parameters to improve the performance of the elevator group. The public traffic data is retrieved from at least one public transportation system, and is used to supplement expected passenger flow data for the adaption of call allocation parameters.

Provided are embodiments for method performing elevator condition-based maintenance using an in-car camera. The method includes monitoring one or more conditions of an elevator system, and analyzing image data obtained from monitoring one or more conditions of the elevator system. The method also includes validating the one or more conditions of the elevator system, and executing an action based on the validation of the one or more conditions. Also provided are embodiments for a system for implementing the method described herein.

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.

A method of adjusting a load setting of an elevator car that includes receiving one or more load measurements associated with the elevator car and determining a maximum load of the elevator car from the one or more load measurements. The method further includes generating a modified load setting for the elevator car based on the maximum load and replacing the load setting of the elevator car with the modified load setting.

An elevator system is configured to be capable of accepting an internal call made by a user operating an elevator operating panel and an external call made from an external apparatus using a communication network. The elevator system is provided with a processor that assigns a car to be an arranged-car candidate to an internal call or an external call from among one or more cars. The processor is configured to, when an external call is accepted, execute an operation condition judgment process for judging whether each of the one or more cars is in an operating state or in a non-operating state and an external call assignment process for preferentially assigning a car in the non-operating state as the arranged-car candidate over a car in the operating state.

A method of adjusting a load setting of an elevator car that includes receiving one or more load measurements associated with the elevator car and determining a maximum load of the elevator car from the one or more load measurements. The method further includes generating a modified load setting for the elevator car based on the maximum load and replacing the load setting of the elevator car with the modified load setting.

An elevator system is provided. The system comprises a first acquisition unit that acquires an image in a car of an elevator and an image of a landing of the elevator; a first generation unit that generates first learning data from the acquired images; a learning unit that performs learning using the first learning data, thereby generating a first learned model; a second generation unit that generates input data from a new image; an estimation unit that estimates, by applying the input data to the first learned model, whether the person on the landing of the elevator, which is included in the new image, gets in the elevator; and a control unit that controls an operation of the elevator based on an estimation result.

A method of adjusting a load setting of an elevator car that includes receiving one or more load measurements associated with the elevator car and determining a maximum load of the elevator car from the one or more load measurements. The method further includes generating a modified load setting for the elevator car based on the maximum load and replacing the load setting of the elevator car with the modified load setting.