DATA ANALYTICS SYSTEM

• US 20170154058A1
• Filed: 12/01/2015
• Published: 06/01/2017
• Est. Priority Date: 12/01/2015
• Status: Active Grant

• Current Assignee: Motorola Solutions, Inc.
• Original Assignee: Motorola Solutions, Inc.
• Inventors: Pearce, Michael D., Nakfour, Juana E., May, Philip E.
• Granted Patent: US 11,442,909 B2
• Time in Patent Office: Days
• CPC Class Codes: G06F 16/215 Improving data quality; Data cleansing, e.g. de-duplication, removing invalid entries or correcting typographical errors
• CPC Class Codes: G06F 16/2457 with adaptation to user needs
• CPC Class Codes: G06F 16/24578 using ranking

Abstract

A data analytics system. The data analytics system includes a communication processor configured to communicate with one or more remote electronic devices, and one or more electronic processors electrically coupled to the communication processor. The one or more electronic processors are configured to receive a first data from the one or more electronic devices, generate a determination including a first confidence level based on the first data, identify additional data which would increase the first confidence level; request the additional data, receive responses including the additional data, and generate a second confidence level of based on the second data.

Claims

1. A method of operating a data analytics system, the method comprising:

receiving a first data from one or more electronic devices;

generating a first determination including a first confidence level based on the first data;

identifying additional data which would increase the first confidence level;

requesting, via a communication processor, the additional data from the one or more electronic devices;

receiving responses including the additional data, via the communication processor, from the one or more electronic devices, and

generating a second confidence level of based on the first data and the additional data.

2. The method of claim 1, further comprising determining if each response is from an electronic device controlled by a trusted individual or an electronic device controlled by an untrusted individual, and combining responses from untrusted devices into an aggregated response, and wherein the additional data are generated based on responses from trusted devices and the aggregated response.

3. The method of claim 1, wherein trusted sources include safety personnel.

4. The method of claim 1, wherein untrusted sources include individuals and social media data.

5. The method of claim 1, wherein autonomous requests are sent to autonomous devices.

6. The method of claim 5, wherein the autonomous devices include video cameras.

7. The method of claim 1, wherein interactive requests include instructions to individuals to perform an action.

8. The method of claim 7, wherein the action includes at least one selected from a group consisting of pointing a video camera at a specific object, moving to a specific position, facing a specific direction, asking a question, and answering a question.

9. The method of claim 1, wherein identifying additional data includes:

determining data sources available in a region of interest,

determining which data sources in the region of interest can provide pertinent information, and

determining a type of data to be obtained from the data sources.

10. The method of claim 1, further comprising assigning a weight and criteria to each of the additional data.

11. A data analytics system comprising:

a communication processor configured to communicate with one or more electronic devices through one or more communications networks; and

one or more electronic processors electrically coupled to the communication processor and configured to;

receive a first data from the one or more electronic devices,

generate a determination including a first confidence level based on the first data,

identify additional data which would increase the first confidence level, request, via the communication processor, the additional data from the one or more electronic devices,

receive responses including the additional data, via the communication processor, from the one or more electronic devices,

and

generate a second confidence level of based on the additional data.

12. The data analytics system of claim 11, wherein the one or more electronic processors determine if each response is from an electronic device controlled by a trusted individual or an electronic device controlled by an untrusted individual, and combine responses from untrusted devices into an aggregated response, and wherein the additional data are generated based on responses from trusted devices and the aggregated response.

13. The data analytics system of claim 11, wherein trusted sources include safety personnel.

14. The data analytics system of claim 11, wherein untrusted sources include individuals and social media data.

15. The data analytics system of claim 11, wherein autonomous requests are sent to autonomous devices.

16. The data analytics system of claim 15, wherein the autonomous devices include video cameras.

17. The data analytics system of claim 11, wherein interactive requests include instructions to individuals to perform an action.

18. The data analytics system of claim 17, wherein the action includes at least one selected from a group consisting of pointing a video camera at a specific object, moving to a specific position, facing a specific direction, asking a question, and answering a question.

19. The data analytics system of claim 11, wherein identifying additional data includes:

determining data sources available in a region of interest,

determining which data sources in the region of interest can provide pertinent information, and

determining a type of data to be obtained from the data sources.

20. The data analytics system of claim 15, wherein the autonomous devices include sensors.