A system and method for detection of a malfunction in an elevator. The system includes an elevator cab, a server, at least one sensor, and a controller. The controller receives a signal captured by the at least sensor and transmit to the server. The server processes the transmitted signal and prognostically detects the malfunction in the elevator cab.

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.

A method of monitoring a conveyance apparatus within a conveyance system, the method including: obtaining a health level of the conveyance system at a first conveyance apparatus location; determining a first identifier for the first conveyance apparatus location; displaying the health level for the conveyance system at the first conveyance apparatus location and the first identifier for the first conveyance apparatus location on a display device; determining a current location of an individual within the conveyance system; and displaying the location of the individual within the conveyance system on the display device.

An elevator system (2) comprises an elevator car (10) configured for traveling along a hoistway (4) between a plurality of landings (8); and at least one passenger sensor (20) provided at least one of the landings (8). The at least one passenger sensor (20) is configured for detecting passengers (26) being present within a predefined detection zone (28) at the respective landing (8) by detecting a detection signal (30b) reflected by a reflecting building structure (22, 24) of the respective landing (8), and for providing a corresponding sensor signal.

A method for providing elevator services includes: generating a dispatch command for stopping an elevator to a departure floor of a target device with self-propelled capability in response to an elevator reservation message from a computer system, wherein the elevator reservation message includes an identification of the target device and an identification of the departure floor; instructing the computer system to send a confirmation message to the target device, the confirmation message includes a password associated with the target device; after the elevator stops at the departure floor of the device and before starting the elevator, determining whether a state of the car satisfies set conditions, wherein the set conditions at least include: an identity authentication of the device in the car based on the password has passed; and if the set conditions are satisfied, the elevator is started; otherwise, the elevator is prohibited from starting.

In a building human flow estimation system having a building human flow simulation section which receives, as input values, building traffic data indicative of floors between which people move by using an elevator in a building, building layout data related to a layout of the building, and an elevator parameter value related to the elevator and estimates a flow of people, there are provided an evaluation section which calculates an evaluation value for evaluating a reproduction degree of the flow of people estimated by the building human flow simulation section based on a first evaluation index related to the flow of people estimated by the building human flow simulation section and a second evaluation index related to an actual flow of people in the building, and an output section which outputs the evaluation value calculated by the evaluation section.

A detection system is provided. The detection system includes a sensing device and a controller. The sensing device is within an elevator and in communication with the controller. The sensing device continuously monitors sound waves within the elevator and communicates the sound waves as electrical signals to the controller. The controller operates the elevator and analyses the sound waves received as the electrical signals from the sensing device to detect an emergency condition within the elevator.

An electrical or electromechanical installation includes a central processor for controlling operation of the electrical or electromechanical installation, a computer communicatively coupled to the central processor to output a control signal to the central processor, and a first video camera communicatively coupled to the computer to output an image signal to the computer. The computer has a memory storing computer instructions to determine facial characteristics from a person's face data comprised in the image signal, to categorizing the facial characteristics into at least one of predefined emotion categories, and to generate a control signal corresponding to the at least one of predefined emotion categories. The central controller operates the electrical or electromechanical installation in accordance with one of several operational modes, wherein the one of several operational modes is selected as a function of the control signal.

A system and/or method that establishes a proximity environment with respect to an elevator and detecting a position of a user device within the proximity environment is provided. Further the system and method determines a source floor and a destination floor respective to the user device and generating an elevator call to the elevator in accordance with the source floor and the destination floor.

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.