Risk-aware management of elevator operations
First Claim
1. A computer-implemented method for operating an elevator car, the method comprising:
- receiving, by a processor, first inputs from one or more sensors;
receiving, by the processor, second inputs from one or more cameras;
determining, by the processor, the presence of a known passenger on the elevator using the first inputs and the second inputs;
retrieving, by the processor, a set of attributes related to the known passenger from a knowledge base,wherein the set of attributes includes at least one of health, age, and interests;
determining, by the processor, a set of characteristics related to the known passenger using the first inputs and the second inputs,wherein the set of characteristics includes at least one of clothing, height, weight, and gender;
predicting, by the processor, a set of predicted actions of the known passenger, using machine-learning techniques;
determining, by the processor, an action to perform based at least in part on the set of predicted actions,wherein the action comprises customizing and displaying content based on the set of attributes;
identifying, by repeated actions observed from the second inputs, distinguishing marks of a personal belonging associated with the known passenger; and
in response to receiving an indication that the personal belonging is missing, transmitting information on a suspect passenger observed, from the second inputs, with the personal belonging to a law enforcement agency.
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Accused Products
Abstract
Embodiments of the invention are directed to computer-implemented methods, computer systems, and computer program products for operating an elevator car. The method includes receiving first inputs from one or more sensors. The method further includes receiving second inputs from one or more cameras. The method further includes determining the presence of a passenger on the elevator using the first inputs and the second inputs. The method further includes determining a set of characteristics related to the passenger using the first inputs and the second inputs. The method further includes predicting a set of predicted actions of the passenger, using machine-learning techniques. The method further includes determining an action to perform based on the set of predicted actions.
53 Citations
18 Claims
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1. A computer-implemented method for operating an elevator car, the method comprising:
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receiving, by a processor, first inputs from one or more sensors; receiving, by the processor, second inputs from one or more cameras; determining, by the processor, the presence of a known passenger on the elevator using the first inputs and the second inputs; retrieving, by the processor, a set of attributes related to the known passenger from a knowledge base, wherein the set of attributes includes at least one of health, age, and interests; determining, by the processor, a set of characteristics related to the known passenger using the first inputs and the second inputs, wherein the set of characteristics includes at least one of clothing, height, weight, and gender; predicting, by the processor, a set of predicted actions of the known passenger, using machine-learning techniques; determining, by the processor, an action to perform based at least in part on the set of predicted actions, wherein the action comprises customizing and displaying content based on the set of attributes; identifying, by repeated actions observed from the second inputs, distinguishing marks of a personal belonging associated with the known passenger; and in response to receiving an indication that the personal belonging is missing, transmitting information on a suspect passenger observed, from the second inputs, with the personal belonging to a law enforcement agency. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. A computer system for operating an elevator car, the system comprising:
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a memory; and a processor system communicatively coupled to the memory; the processor system configured to; receive first inputs from one or more sensors; and receive second inputs from one or more cameras; determine the presence of a known passenger on the elevator using the first inputs and the second inputs, retrieve a set of attributes related to the known passenger from a knowledge base, wherein the set of attributes includes at least one of health, age, and interests; determine a set of characteristics related to the known passenger using the first inputs and the second inputs, wherein the set of characteristics includes at least one of clothing, height, weight, and gender; predict a set of predicted actions of the known passenger, using machine-learning techniques; determine an action to perform based on the set of predicted actions, wherein the action comprises customizing and displaying content based on the set of attributes; identifying, by repeated actions observed from the second inputs, distinguishing marks of a personal belonging associated with the known passenger; and in response to receiving an indication that the personal belonging is missing, transmitting information on a suspect passenger observed, from the second inputs, with the personal belonging to a law enforcement agency. - View Dependent Claims (11, 12, 13, 14, 15, 16, 17)
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18. A computer program product comprising:
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a computer-readable storage medium having program instructions embodied therewith, the program instructions readable by a processor system to cause the processor system to perform a method comprising; receiving first inputs from one or more sensors; receiving second inputs from one or more cameras; determining the presence of a known passenger on the elevator using the first inputs and the second inputs; retrieving, by the processor, a set of attributes related to the known passenger from a knowledge base, wherein the set of attributes includes at least one of health, age, and interests; determining a set of characteristics related to the known passenger using the first inputs and the second inputs, wherein the set of characteristics includes at least one of clothing, height, weight, and gender; predicting a set of predicted actions of the known passenger, using machine-learning techniques; determining an action to perform based on the set of predicted actions, wherein the action comprises customizing and displaying content based on the set of attributes; identifying, by repeated actions observed from the second inputs, distinguishing marks of a personal belonging associated with the known passenger; and in response to receiving an indication that the personal belonging is missing, transmitting information on a suspect passenger observed, from the second inputs, with the personal belonging to a law enforcement agency.
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Specification