Drone device security system for protecting a package

• US 10,538,329 B2
• Filed: 10/24/2018
• Issued: 01/21/2020
• 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:
  US16/169,328
• Publication Number:
  US 20190055019A1
• Time in Patent Office: 454 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. The drone device is able to be implemented in conjunction with a security system.

Claims

1. A method comprising:

a. detecting delivery of a package;

b. monitoring the package using a security system, wherein the security system includes a drone device, wherein the drone device includes a first separable drone device physically nested within a second separable drone device, wherein each separable drone device is configured to acquire separate information by traveling in different directions, wherein the first separable drone device enters a structure, and the second separable drone device remains on the outside the structure; and

c. taking an action based on the package, including triggering a notification to a mobile device when the package moves more than a threshold amount, wherein determining if the package moves more than the threshold amount is based on a depth map and comparing a depth of the package in successive images.

2. The method of claim 1 wherein detecting delivery of the package includes detecting a wireless tag in or on the package.

3. The method of claim 1 wherein detecting delivery of the package includes utilizing object recognition with a camera of the security system or the drone device.

4. The method of claim 1 wherein detecting delivery of the package includes receiving a direct delivery notification at the security system from a delivery device.

5. The method of claim 1 wherein detecting delivery of the package includes receiving a delivery notification at the security system from a merchant device.

6. The method of claim 1 further comprising providing an indication to one or more devices that the package is protected by the security system.

7. The method of claim 1 wherein detecting delivery of the package includes monitoring and analyzing an Internet-based communication to determine the delivery of the package.

8. The method of claim 1 wherein monitoring the package includes automatically moving the drone device so that the package is within the view of a camera of the drone device.

9. The method of claim 1 wherein monitoring the package includes automatically moving the drone device onto or above the package.

10. The method of claim 1 wherein monitoring the package includes tracking movement of the package with the security system.

11. The method of claim 1 wherein taking the action includes triggering an alarm of the security system when the package moves more than the threshold amount.

12. The method of claim 1 wherein detecting delivery of the package includes monitoring mobile device messages which trigger the security system and/or the drone device to monitor the package or search for the package.

13. The method of claim 1 wherein detecting delivery of the package includes detecting triggering of a doorbell coupled to the security system.

14. The method of claim 1 wherein monitoring the package using the security system includes detecting one or more objects within a specified range, and if the one or more objects are recognized as unfamiliar, the notification is triggered.

15. The method of claim 1 further comprising implementing a privacy policy including blurring out a portion of information acquired by the drone device.

16. The method of claim 1 further comprising avoiding flying the drone device in one or more specified locations.

17. A system comprising:

a. a server; and

b. a security system with a drone device, wherein the security system is configured for receiving a notification of a delivery of a package from the server and alerting a user when the package is moved more than a threshold distance, wherein the drone device includes a first separable drone device physically nested within a second separable drone device, wherein each separable drone device is configured to acquire separate information by traveling in different directions, wherein the first separable drone device enters a structure, and the second separable drone device remains on the outside the structure, wherein determining if the package is moved more than the threshold distance is based on a depth map and comparing a depth of the package in successive images.

18. The system of claim 17 wherein the security system is further configured for informing the server that the package is being monitored.

19. The system of claim 17 wherein the server receives the notification of the delivery of the package from a delivery scanner device.

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, wherein the external information includes a notification of a delivery of a package;

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. alerting a user when the package is moved more than a threshold distance; and

e. a processor configured for processing the application, wherein the aerial drone device includes a 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 aerial drone device enters a structure, and the second separable aerial drone device remains on the outside the structure, wherein determining if the package is moved more than the threshold distance is based on a depth map and comparing a depth of the package in successive images.