Drone device for real estate

• US 10,196,144 B2
• Filed: 06/25/2018
• Issued: 02/05/2019
• Est. Priority Date: 02/28/2014
• Status: Active Grant

• Current Assignee: Lucas Myslinski
• Original Assignee: Lucas Myslinski
• Inventors: Myslinski, Lucas J.
• Primary Examiner(s): Anwari, Maceeh
• Application Number:
  US16/017,133
• Publication Number:
  US 20180305014A1
• Time in Patent Office: 225 Days
• Field of Search: 701 3
• CPC Class Codes: B64C 39/024 of the remote controlled vehicle type, i.e. RPV
• CPC Class Codes: B64D 47/02 Arrangements or adaptations of signal or lighting devices
• CPC Class Codes: B64D 47/08 Arrangements of cameras
• CPC Class Codes: B64D 5/00 Aircraft transported by aircraft, e.g. for release or reberthing during flight flying units formed by separate aircraft B64C37/02
• CPC Class Codes: B64U 20/10 for stealth, e.g. reduction of cross-section detectable by radars
• CPC Class Codes: B64U 20/50 Foldable or collapsible UAVs with frangible components B64U20/30
• CPC Class Codes: B64U 2101/00 UAVs specially adapted for particular uses or applications
• CPC Class Codes: B64U 2101/30 for imaging, photography or videography
• CPC Class Codes: B64U 2201/10 autonomous, i.e. by navigating independently from ground or air stations, e.g. by using inertial navigation systems [INS]
• CPC Class Codes: B64U 80/25 for recharging batteries; for refuelling
• CPC Class Codes: G05D 1/0088 characterized by the autonomous decision making process, e.g. artificial intelligence, predefined behaviours using knowledge based models G06N5/00
• CPC Class Codes: G05D 1/0094 involving pointing a payload, e.g. camera, weapon, sensor, towards a fixed or moving target
• CPC Class Codes: G05D 1/104 involving a plurality of aircrafts, e.g. formation flying traffic control systems for aircraft G08G5/00
• CPC Class Codes: G06F 40/205 Parsing
• CPC Class Codes: G06F 40/30 Semantic analysis
• CPC Class Codes: G06Q 10/04 Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem" market predictions or forecasting for commercial activities G06Q30/0202
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G06Q 10/063 Operations research, analysis or management
• CPC Class Codes: G06Q 10/0833 Tracking
• CPC Class Codes: G06Q 30/0201 Market modelling; Market analysis; Collecting market data
• CPC Class Codes: G06Q 30/0202 : Market predictions or forecasting for commercial activities
• CPC Class Codes: G06Q 30/0207 : Discounts or incentives, e.g. coupons or rebates
• CPC Class Codes: G06Q 30/0282 : Rating or review of business operators or products
• CPC Class Codes: G06Q 50/01 : Social networking
• CPC Class Codes: G06Q 50/26 : Government or public services business processes related to the transportation industry G06Q50/40
• CPC Class Codes: G06T 2207/10016 : Video; Image sequence
• CPC Class Codes: G06T 2207/10032 : Satellite or aerial image; Remote sensing
• CPC Class Codes: G06T 2207/30196 : Human being; Person
• CPC Class Codes: G06T 2207/30232 : Surveillance
• CPC Class Codes: G06T 7/20 : Analysis of motion motion estimation for coding, decoding, compressing or decompressing digital video signals H04N19/43, H04N19/51
• CPC Class Codes: G06V 20/40 : in video content extracting overlay text G06V20/62; video retrieval G06F16/70; processing of video elementary streams in video servers H04N21/234; processing of video elementary streams in video clients H04N21/44
• CPC Class Codes: G06V 20/52 : Surveillance or monitoring of activities, e.g. for recognising suspicious objects recognising microscopic objects G06V20/69
• CPC Class Codes: G06V 40/10 : Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
• CPC Class Codes: G08B 21/18 : Status alarms G08B21/02 takes precedence
• CPC Class Codes: H04N 5/77 : between a recording apparatus and a television camera
• CPC Class Codes: H04N 5/772 : the recording apparatus and the television camera being placed in the same enclosure
• CPC Class Codes: H04N 7/183 : for receiving images from a single remote source
• CPC Class Codes: H04N 7/188 : Capturing isolated or intermittent images triggered by the occurrence of a predetermined event, e.g. an object reaching a predetermined position signal generation from motion picture films H04N5/253

Abstract

A fact checking system utilizes social networking information and analyzes and determines the factual accuracy of information and/or characterizes the information by comparing the information with source information. The social networking fact checking system automatically monitors information, processes the information, fact checks the information and/or provides a status of the information, including automatically modifying a web page to include the fact check results. The fact checking system is able to be implemented utilizing a drone device.

Claims

1. A system comprising:

a. a device; and

b. an aerial drone device configured to acquire content related to real estate and communicate with the device, wherein the aerial drone device includes a body configured to secure at least one power supply, the at least one power supply configured to supply power to;

at least one motor which causes at least one propeller to move, and

at least one information acquisition component,

the at least one information acquisition component configured to acquire the content related to real estate including images and/or videos of the real estate, further wherein the at least one information acquisition component is configured to scan an area,

wherein the device and/or the aerial drone device are configured to summarize the content related to real estate by selecting one or more first items of the content and discarding one or more second items of the content, wherein the aerial drone device includes a first separable aerial drone device physically nested within a second separable aerial drone device, wherein each separable aerial drone device is configured to acquire separate information by traveling in different directions,

wherein the first separable aerial drone device enters a structure of the real estate, and the second separable aerial drone device remains on the outside the structure of the real estate.

2. The system of claim 1 wherein the content related to real estate includes virtual reality content enabling a user to be immersed in the content related to real estate.

3. The system of claim 1 wherein the content related to real estate includes augmented reality content including at least one label of an object within the content.

4. The system of claim 3 wherein the augmented reality content includes measurement information related to the real estate.

5. The system of claim 1 wherein the content related to real estate is classified by comparing the content with template information.

6. The system of claim 1 wherein the content related to real estate is shared via a social network.

7. The system of claim 1 wherein the content related to real estate is acquired from a plurality of angles and at a plurality of times of day.

8. The system of claim 1 wherein a text summary of the content related to real estate is automatically generated by retrieving information related to the content available on the Internet.

9. The system of claim 1 wherein a video summary of the content related to real estate is automatically generated utilizing template matching.

10. The system of claim 1 wherein the device and/or the aerial drone device communicate with an insurance company for damage assessment.

11. The system of claim 1 wherein the content related to real estate is analyzed to determine an accuracy of the content.

12. The system of claim 1 wherein the aerial drone device is programmed to acquire the content related to real estate by navigating to specific locations of the real estate.

13. The system of claim 1 wherein the at least one information acquisition component is configured to detect damage to the real estate.

14. The system of claim 1 wherein the device comprises a server device.

15. The system of claim 1 wherein the device comprises a user device.

16. The system of claim 1 wherein the aerial drone device is configured to remove an object from the content related to real estate.

17. A method comprising:

c. navigating real estate with an aerial drone device;

d. acquiring content related to the real estate with the aerial drone device;

e. communicating the content related to the real estate to a second device;

f. summarizing, with the aerial drone device and/or the second device, the content related to real estate by selecting one or more first items of the content and discarding one or more second items of the content,

wherein the drone device includes a body configured to secure at least one power supply, the at least one power supply configured to supply power to;

at least one motor which causes at least one propeller to move, and

at least one information acquisition component,

the at least one information acquisition component configured to acquire the content related to real estate including images and/or videos of the real estate, wherein the aerial drone device includes a first separable aerial drone device physically nested within a second separable aerial drone device, wherein each separable aerial drone device is configured to acquire separate information by traveling in different directions,

wherein the first separable aerial drone device enters a structure of the real estate, and the second separable aerial drone device remains on the outside the structure of the real estate.