IP Library › Granted Patent US 11,913,758
Granted Patent B2
US 11,913,758 · App. 17/016,247 · Granted Feb 27, 2024

Airborne drones with non-physical distractors

Inventor: Christopher Bijou (Draper, UT)
Assignee: QUISNET, Inc.
F41H11/00B64C39/024B64D1/02G05D1/0094G05D1/104B64U10/13B64U2101/00F41H13/0087
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Quick Facts
Patent No.
US 11,913,758
App. No.
17/016,247
Filed
Sep 9, 2020
Granted
Feb 27, 2024
Kind
B2
Art Unit
3641
USPC
89/1.11
Abstract

Embodiments of the invention include a drone system or method for distracting a threat with a light source. In some embodiments, an environment can be scanned with a sensor that produces sensor data. A threat within the environment can be identified from the sensor data, and the location of the threat can be determined. The light source can be aimed toward the threat; and light may be directed from the light source toward the threat.

Claims (39)

1. A method comprising:

scanning an environment with a sensor mounted on a drone and producing sensor data, wherein the sensor data includes sensor location data;

detecting a threat within the environment from the sensor data by a computational system on the drone;

making a first visual identification of the threat using the sensor data by the computational system on the drone;

determining the location of the threat based on the sensor location data, the GPS position of the drone, vertical angular position of the sensor and the horizontal angular position of the sensor;

making a second identification confirmation of the threat by the computational system on the drone to ensure that the threat is actionable prior to dropping one or more barriers; and

dropping the one or more barriers after making the second identification confirmation.

2. The method according to claim 1 , wherein the sensor data includes sensor data from one or more sensors on the drone, a satellite, a terrestrial sensor, and a second drone.

3. The method according to claim 1 , wherein the sensor data includes sensor angle, position, or directionality data.

4. The method according to claim 1 , further comprising moving the drone to a location near the threat.

5. The method according to claim 1 , further comprising moving the drone to a location between the threat and a potential target.

6. The method according to claim 1 , further comprising moving the drone to a location near a target.

7. A drone that executes the method of claim 1 .

8. A method comprising:

scanning an environment with a sensor mounted on a drone and producing sensor data, wherein the sensor data includes sensor location data;

detecting a threat within the environment from the sensor data by a computational system on the drone;

making a first visual identification of the threat using the sensor data by the computational system on the drone;

determining the location of the threat based on the sensor location data, the GPS position of the drone, vertical angular position of the sensor and the horizontal angular position of the sensor;

exposing an adhesive surface,

making a second identification confirmation of the threat by the computational system on the drone to ensure that the threat is actionable prior to directing a drone toward the threat; and

directing the drone toward the threat after making the second identification confirmation.

9. The method according to claim 8 , wherein the sensor data includes sensor data from one or more sensors on the drone, a satellite, a terrestrial sensor, and a second drone.

10. The method according to claim 8 , wherein the sensor data includes sensor angle, position, or directionality data.

11. The method according to claim 8 , further comprising moving the drone to a location between the threat and a potential target.

12. A drone that executes the method of claim 8 .

13. A method comprising:

scanning an environment with a sensor mounted on a drone and producing sensor data, wherein the sensor data includes sensor location data;

detecting a threat within the environment from the sensor data by a computational system on the drone;

making a first visual identification of the threat using the sensor data;

determining the location of the threat based on the sensor location data, the GPS position of the drone, vertical angular position of the sensor and the horizontal angular position of the sensor;

directing a launcher toward the threat based on the location,

making a second identification confirmation of the threat by the computational system on the drone to ensure that the threat is actionable prior to launching a projectile, gas or fluid; and

launching the projectile, gas or fluid at or near the threat after making the second identification confirmation.

14. The method according to claim 13 , wherein the sensor data includes sensor data from one or more sensors on the drone, a satellite, a terrestrial sensor, and a second drone.

15. The method according to claim 13 , wherein the sensor data includes sensor angle, position, or directionality data.

16. The method according to claim 13 , further comprising moving the drone to a location near the threat.

17. The method according to claim 13 , further comprising moving the drone to a location between the threat and a potential target.

18. The method according to claim 13 , further comprising moving the drone to a location near a target.

19. A drone that executes the method of claim 13 .

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Dec 5, 2023
From: BIJOU, CHRISTOPHER
To: QUISNET, INC.
Reel/Frame 065773/0086 →
Continuity (5)
Provisional Application 62897706 · Sep 9, 2019
Provisional Application 62897679 · Sep 9, 2019
Provisional Application 62897716 · Sep 9, 2019
Provisional Application 62897720 · Sep 9, 2019
Related Publication 20210071996A1 · Mar 11, 2021