Systems and methods for security data analysis and display
First Claim
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1. A system for detecting and responding to security events within a monitored environment, the system comprising:
- a self-propelled robotic autonomous data machine comprising;
(1) one or more propulsion units including one or more wheels, movable body surfaces, propellers, rollers, arms, or legs configured to transport the self-propelled robotic autonomous data machine autonomously within the monitored environment, and (2) a sensor collecting data of the monitored environment; and
one or more processors individually or collectively configured to;
receive security data related to the monitored environment from a plurality of data sources, the plurality of data sources comprising;
(1) the sensor of the autonomous data machine, and (2) a social media feed comprising a timeline of social media events and a geographical map of the social media events;
detect that a security event has occurred within the monitored environment, based on the security data from the sensor and social media feed, wherein the security event comprises at least one of the following;
occurrence of a crime or occurrence of potential criminal activity;
determine an action to be performed by the self-propelled robotic autonomous data machine in response to detecting the security event from the sensor and the social media feed including at least in part navigating to a location associated with the security event and collecting data related to the security event using one or more sensors of the self-propelled autonomous data machine; and
output a command to the autonomous data machine in order to cause the autonomous data machine to perform the action,wherein the one or more processors are situated at a location remote from the autonomous data machine.
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Abstract
Systems and methods are provided for improved security services. In one aspect, a method is provided for controlling an autonomous data machine situated near a monitored environment. The method comprises: obtaining security data from a plurality of data sources; analyzing the security data to generate an analysis result; determining, based on the analysis result, an action to be performed by the autonomous data machine; and transmitting a command to the autonomous data machine causing it to perform the action.
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Citations
14 Claims
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1. A system for detecting and responding to security events within a monitored environment, the system comprising:
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a self-propelled robotic autonomous data machine comprising;
(1) one or more propulsion units including one or more wheels, movable body surfaces, propellers, rollers, arms, or legs configured to transport the self-propelled robotic autonomous data machine autonomously within the monitored environment, and (2) a sensor collecting data of the monitored environment; andone or more processors individually or collectively configured to; receive security data related to the monitored environment from a plurality of data sources, the plurality of data sources comprising;
(1) the sensor of the autonomous data machine, and (2) a social media feed comprising a timeline of social media events and a geographical map of the social media events;detect that a security event has occurred within the monitored environment, based on the security data from the sensor and social media feed, wherein the security event comprises at least one of the following;
occurrence of a crime or occurrence of potential criminal activity;determine an action to be performed by the self-propelled robotic autonomous data machine in response to detecting the security event from the sensor and the social media feed including at least in part navigating to a location associated with the security event and collecting data related to the security event using one or more sensors of the self-propelled autonomous data machine; and output a command to the autonomous data machine in order to cause the autonomous data machine to perform the action, wherein the one or more processors are situated at a location remote from the autonomous data machine. - View Dependent Claims (2, 3, 4, 5)
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6. A method for detecting and responding to security events within a monitored environment using a self-propelled robotic autonomous data machine, the method comprising:
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receiving, at one or more processors, security data related to the monitored environment from a plurality of data sources, the plurality of data sources comprising;
(1) a sensor of the self-propelled robotic autonomous data machine, wherein the self-propelled robotic autonomous data machine comprises one or more propulsion units including one or more wheels, movable body surfaces, propellers, rollers, arms or legs configured to transport the self-propelled robotic autonomous data machine autonomously within the monitored environment, and (2) a social media feed comprising a timeline of social media events and a geographical map of the social media events;detecting, with aid of the one or more processors, that a security event has occurred within the monitored environment, based on the security data from the sensor and social media feed, wherein the security event comprises at least one of the following;
occurrence of a crime or occurrence of potential criminal activity;determining, with aid of the one or more processors, an action to be performed by the self-propelled robotic autonomous data machine in response to detecting the security event from the sensor and social media feed including at least in part navigating to a location associated with the security event and collecting data related to the security event using one or more sensors of the self-propelled robotic autonomous data machine; and outputting, from the one or more processors, a command to the self-propelled robotic autonomous data machine in order to cause the self-propelled robotic autonomous data machine to perform the action, wherein the one or more processors are situated at a location remote from the self-propelled robotic autonomous data machine. - View Dependent Claims (7, 8, 9, 10)
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11. A system for responding to predicted security events within a monitored environment, the system comprising:
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a self-propelled robotic autonomous data machine comprising;
(1) one or more propulsion units including one or more wheels, movable body surfaces, propellers, rollers, arms or legs configured to transport the autonomous data machine autonomously within the monitored environment, and (2) a sensor collecting data of the monitored environment; andone or more processors individually or collectively configured to; receive security data related to the monitored environment from a plurality of data sources, the plurality of data sources comprising;
(1) the sensor of the self-propelled robotic autonomous data machine, and (2) a social media feed comprising a timeline of social media events and a geographical map of the social media events;determine that a predicted security event is likely to occur within the monitored environment, based on the security data from the sensor and social media feed, wherein the predicted security event comprises at least one of the following;
occurrence of a crime or occurrence of potential criminal activity;determine an action to be performed by the autonomous data machine in response to determining the predicted security event is likely to occur from the sensor and timeline of social media events including at least in part navigating to a location associated with the security event and collecting data related to the security event using-one or more sensors of the self-propelled robotic autonomous data machine; and output a command to the self-propelled robotic autonomous data machine in order to cause the self-propelled robotic autonomous data machine to perform the action, wherein the one or more processors are situated at a location remote from the self-propelled robotic autonomous data machine. - View Dependent Claims (12, 13, 14)
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Specification