COMMERCIAL DRONE DETECTION

Number: 20170039413
Published: 2017-02-09
Filed: 2015-08-03
Assignee: Disney Enterprises, Inc.
Inventors: Nadler; Gary J.
CPC: G06F18/22; G06V10/75; G06V20/52; H04N23/45
Verdict: Medium Hardware
Source: Google Patents · FreePatentsOnline

The keeper's note

Commercial-drone detection hardware/sensing system — physical security/detection application relevant to park airspace.

Abstract

One embodiment provides a method of capturing the presence of a drone, including: collecting, using at least one sensor, data associated with an aerial object; analyzing, using a processor, the data to determine at least one characteristic of the aerial object; accessing,in a database, a library of stored characteristics of commercially available drones; determining, based on the analyzing, if the at least one characteristic of the aerial object matches a characteristic of a commercially available drone; and responsive to the determining, generating an indication of a positive match. Other aspects are described and claimed.

Background

BRIEF DESCRIPTION OF THE SEVERAL VIEWS OF THE DRAWINGS

FIG. 1 illustrates an example system for detecting the presence of a drone.

FIG. 2 illustrates an example depiction of a pod.

FIG. 3 illustrates an example embodiment of a pod having a number of video cameras oriented to monitor different portions of the sky.

FIG. 4 illustrates an example method of detecting the presence of a drone and alerting an operator if a foreign drone is detected.

FIG. 5 illustrates an example computing device.DETAILED DESCRIPTION

It will be readily understood that the components of the embodiments, as generally described and illustrated in the figures herein, may be arranged and designed in a wide variety of different configurations in addition to the described example embodiments. Thus, the following more detailed description of the example embodiments, as represented in the figures, is not intended to limit the scope of the embodiments, as claimed, but is merely representative of example embodiments.

Reference throughout this specification to “one embodiment” or “an embodiment” (or the like) means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment. Thus, appearances of the phrases “in one embodiment” or “in an embodiment” or the like in various places throughout this specification are not necessarily all referring to the same embodiment.

Furthermore, the describ

Claims

1. A method of capturing the presence of a drone, comprising: collecting, using at least one sensor, data associated with an aerial object; analyzing, using a processor, the data to determine at least one characteristic of the aerial object; accessing, in a database, a library of stored characteristics of commercially available drones; determining, based on the analyzing, if the at least one characteristic of the aerial object matchesa characteristic of a commercially available drone; and responsive to the determining, generating an indication of a positive match. 10. A system for detecting the presence of a drone, comprising: an array of sensors; an electronic device including a processor that is operatively coupled to the array of sensors; a memory device that stores instructions executable by the processor to: collect, using the array of sensors, data associated with an aerial object; analyze the data to determine at least one characteristic of the aerial object; access, in a database, a library of stored characteristics of commercially available drones; determine if the at least one characteristic of the aerial object matches a characteristic of a commercially available drone; and generate an indication of a positive match.11. The system of 10, wherein the at least one characteristic of an aerial object is selected from the group consisting of physical appearance, noise signature and operating frequency. 19. A program product that captures the presence of a drone, comprising: a storage device having code stored therewith, the code being executable by the processor and comprising: code that collects, using at least one sensor, data associated with an aerial object;code that analyzes, using a processor, the data to determine at least one characteristic of the aerial object; code that accesses, in a database, a library of stored characteristics of commercially available drones; code that determines, based on the analyzing, if the at least one characteristic of the aerial object matches a characteristic of a commercially available drone; and code that generates, based on the determining, an indication of a positive match.