Systems and methods for security data analysis and display

• US 9,792,434 B1
• Filed: 06/25/2015
• Issued: 10/17/2017
• Est. Priority Date: 01/17/2014
• Status: Active Grant

• Current Assignee: Knightscope, Inc.
• Original Assignee: Knightscope, Inc.
• Inventors: Li, William Santana, Stoschek, Arne, Stephens, Stacy Dean, Soria-Li, Mercedes, Lehnhardt, Aaron J., Villa, Dominic A., Wong, Phillip
• Primary Examiner(s): Lynch, Sharon
• Application Number:
  US14/751,124
• Time in Patent Office: 845 Days
• CPC Class Codes: B64C 39/024 of the remote controlled vehicle type, i.e. RPV
• CPC Class Codes: G05D 1/0038 by providing the operator with simple or augmented images from one or more cameras located onboard the vehicle, e.g. tele-operation images analyzed by a computer and used for automatic navigation G05D1/0246
• CPC Class Codes: G06F 21/554 involving event detection and direct action
• CPC Class Codes: G06F 21/577 Assessing vulnerabilities and evaluating computer system security
• CPC Class Codes: G06F 21/6218 to a system of files or objects, e.g. local or distributed file system or database
• CPC Class Codes: G06F 2221/031 Protect user input by software means
• CPC Class Codes: G06F 2221/034 Test or assess a computer or a system
• CPC Class Codes: G06F 2221/2141 Access rights, e.g. capability lists, access control lists, access tables, access matrices
• CPC Class Codes: G06Q 50/01 Social networking

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.

Claims

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.

2. The system of claim 1, wherein the sensor is an image sensor, an audio sensor, a thermal sensor, an infrared sensor, a proximity sensor, a motion sensor, or a position sensor.

3. The system of claim 1, wherein the sensor is carried by the self-propelled robotic autonomous data machine.

4. The system of claim 1, further comprising a display unit configured to display at least a subset of the security data to a user entity in a plurality of different visual contexts.

5. The system of claim 4, wherein the plurality of different visual contexts comprises one or more of the following:

the geographical map, the timeline, the social media feed, or a sensor feed.

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:

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.

7. The method of claim 6, wherein the sensor is an image sensor, an audio sensor, a thermal sensor, an infrared sensor, a proximity sensor, a motion sensor, or a position sensor.

8. The method of claim 6, wherein the sensor is carried by the self-propelled robotic autonomous data machine.

9. The method of claim 6, wherein detecting that the security event has occurred comprises detecting an increase in activity related to the security event on the social media feed.

10. The method of claim 6, further comprising transmitting, with aid of the one or more processors, information regarding the security event to a user entity.

11. A system for responding to predicted 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 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 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.

12. The system of claim 11, wherein the sensor is an image sensor, an audio sensor, a thermal sensor, an infrared sensor, a proximity sensor, a motion sensor, or a position sensor.

13. The system of claim 11, wherein the sensor is carried by the self-propelled robotic autonomous data machine.

14. The system of claim 11, wherein the plurality of data sources further comprises a security database, and wherein the security database comprises historical security data for the monitored environment.