DRONE DEVICE SECURITY SYSTEM

• US 20170203841A1
• Filed: 03/29/2017
• Published: 07/20/2017
• Est. Priority Date: 02/28/2014
• Status: Active Grant

• Current Assignee: Lucas Myslinski
• Original Assignee: Lucas Myslinski
• Inventors: Myslinski, Lucas J.
• Granted Patent: US 10,035,595 B2
• Time in Patent Office: Days
• 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 security system;

b. a first aerial drone device configured for acquiring content and communicating with the security system including receiving trigger location information from the security system; and

c. a second aerial drone device configured for acquiring the content and communicating with the security system including receiving the trigger location information from the security system, wherein the first aerial drone device is configured to nest within the second aerial drone device, wherein the first aerial drone device and the second aerial drone device are each configured to acquire separate information by traveling in different directions, wherein the security system avoids contacting a contact depending on the content acquired.

2. The system of claim 1 wherein the contact comprises police.

3. The system of claim 1 wherein the content acquired is analyzed to determine if any items within the content are broken or damaged.

4. The system of claim 1 wherein at least one of the first aerial drone device and the second aerial drone device is configured to acquire an image of an object based on a database of template targets, including scanning an area and comparing the object in the area with the database of template targets to determine whether to acquire the image of the object.

5. The system of claim 1 wherein at least one of the first aerial drone device and the second aerial drone device is configured to determine when to patrol an area by analyzing social networking information and detecting one or more keywords within the social networking information, wherein the one or more keywords are related to a location of the at least one of the first aerial drone device and the second aerial drone device.

6. The system of claim 1 wherein at least one of the first aerial drone device and the second aerial drone device includes one or more lights to indicate different situations based on the content acquired by the at least one of the first aerial drone device and the second aerial drone device.

7. The system of claim 1 wherein at least one of the first aerial drone device and the second aerial drone device includes:

i. a storage compartment configured for storing a net, paint, pepper spray or a tracking device, wherein the tracking device is deployed by the at least one of the first aerial drone device and the second aerial drone device by dropping the tracking device onto an object and tracking the tracking device; and

ii. a shielding component configured for protecting the at least one of the first aerial drone device and the second aerial drone device, wherein the shielding component includes one or more extendible wings.

8. The system of claim 1 wherein the security system is configured to detect a breach and send a signal to the at least one of the first aerial drone device and the second aerial drone device, wherein when the breach is detected, the at least one of the first aerial drone device and the second aerial drone device is configured to move to a location of the breach based on the trigger location information, further wherein the at least one of the first aerial drone device and the second aerial drone device records video and takes pictures at the location of the breach.

9. The system of claim 8 wherein the at least one of the first aerial drone device and the second aerial drone device is configured to locate a person based on where the breach occurred and by detecting the person, using a camera of the at least one of the first aerial drone device and the second aerial drone device and object recognition.

10. The system of claim 9 wherein the at least one of the first aerial drone device and the second aerial drone device is configured to track the person and transmit tracking location information to the security system or another device, wherein the at least one of the first aerial drone device and the second aerial drone device tracks the person by acquiring image data of the person and maintaining the image data of the person within a view of the camera of the at least one of the first aerial drone device and the second aerial drone device.

11. The system of claim 9 wherein the at least one of the first aerial drone device and the second aerial drone device is configured to track the person and transmit tracking location information to the security system or another device, wherein the at least one of the first aerial drone device and the second aerial drone device is configured to track the person by acquiring image data of the person and maintaining the image data of the person within a view of the camera of the at least one of the first aerial drone device and the second aerial drone device, and the at least one of the first aerial drone device and the second aerial drone device is configured to locate evidence or vehicle information using the database of template targets.

12. The system of claim 1 wherein at least one of the first aerial drone device and the second aerial drone device is configured to monitor police-provided information, and the at least one of the first aerial drone device and the second aerial drone device is configured to access police data to compare with the content acquired by the at least one of the first aerial drone device and the second aerial drone device to determine additional information regarding a suspect, wherein an image of the suspect is acquired with a camera of the at least one of the first aerial drone device and the second aerial drone device.

13. The system of claim 1 wherein the security system includes one or more motion sensors and one or more breach detectors, wherein when the one or more motion sensors or the one or more breach detectors are triggered, the security system sends an activation signal and identification data to at least one of the first aerial drone device and the second aerial drone device.

14. The system of claim 1 wherein at least one of the first aerial drone device and the second aerial drone device is configured to utilize image processing analysis including object comparison analysis to determine size information of the object captured within the content by comparing known objects in the content with the object captured within the content.

15. The system of claim 1 wherein at least one of the first aerial drone device and the second aerial drone device is configured to determine when to patrol an area by analyzing police information and detecting the one or more keywords within the police information, wherein the one or more keywords are related to the location of the at least one of the first aerial drone device and the second aerial drone device.

16. The system of claim 1 wherein at least one of the first aerial drone device and the second aerial drone device is configured to fly in a variable pattern when patrolling the area, further wherein the at least one of the first aerial drone device and the second aerial drone device includes a display device positioned under a body of the at least one of the first aerial drone device and the second aerial drone device, wherein the display device is configured to camouflage the at least one of the first aerial drone device and the second aerial drone device.

17. The system of claim 1 wherein at least one of the first aerial drone device and the second aerial drone device is configured to acquire base images of the area and compare the base images of the area with the content which includes a current image of the area to determine if a breach has occurred.

18. The system of claim 17 wherein comparing the base images of the area with the content includes determining appropriate base images to compare based on a time of day, weather conditions or a position of the at least one of the first aerial drone device and the second aerial drone device.

19. A system comprising:

a. a first aerial drone device; and

b. a second aerial drone device, wherein the first aerial drone device and the second aerial drone device communicate and cooperate to acquire information related to a security system breach, including the first aerial drone device tracking a first person or object, and the second aerial drone device tracking a second person or object.

20. An aerial drone device comprising:

a. a device body;

b. at least one propeller coupled to the device body;

c. a plurality of information acquisition components coupled to the device body, wherein a first information acquisition component of the plurality of information acquisition components is positioned in an opposite direction of a second information acquisition component of the plurality of information acquisition components;

d. a memory configured for storing an application, the application for;

i. processing external information;

ii. directing the aerial drone device to patrol an area based on the processed external information;

iii. acquiring content using the plurality of information acquisition components; and

iv. analyzing the content to determine a breach, wherein the aerial drone device avoids contacting a contact depending on the content; and

e. a processor configured for processing the application; and

f. a speaker to provide an audible alert including reporting details of an incident based on the content.