Dynamic geo-fence for drone
US-9928748-B2 · Mar 27, 2018 · US
US10332406B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-10332406-B2 |
| Application number | US-201715813674-A |
| Country | US |
| Kind code | B2 |
| Filing date | Nov 15, 2017 |
| Priority date | Nov 25, 2015 |
| Publication date | Jun 25, 2019 |
| Grant date | Jun 25, 2019 |
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Technical solutions are described for configuring a dynamic geo-fence includes receiving a plurality of data samples. The method also includes selecting, from the plurality of data samples, a selected data sample as a threshold. The method also includes configuring a geo-fence for a geographic area based on the selected data sample. The method also includes adjusting an operational characteristic of a drone while the drone is in the geographic area, where the operational characteristic is adjusted based on a configuration of the drone and the geo-fence.
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What is claimed is: 1. A computer implemented method for configuring a dynamic geo-fence for a drone, the method comprising: receiving a plurality of data samples comprising a plurality of audio samples captured by an audio capture equipment of the drone from respective distances; selecting, from the plurality of data samples, a selected data sample as a threshold; configuring a geo-fence for a geographic area based on the selected data sample; determining audio attributes of the selected data sample from the plurality of audio samples; identifying a current value of an operational characteristic of the drone; identifying a second value of the operational characteristic, wherein audio attributes of an audio captured by the audio capture equipment using the second value are within a predetermined threshold of the audio attributes of the selected data sample; and adjusting the operational characteristic of the drone to the second value while the drone is in the geographic area, wherein the operational characteristic is adjusted based on a configuration of the drone and the geo-fence. 2. The computer implemented method of claim 1 , wherein the drone is a first drone, and wherein the geo-fence adjusts the operational characteristic of the first drone to a first value, and the operational characteristic of a second drone to a third value, the first value being distinct from the third value. 3. The computer implemented method of claim 1 , wherein the operational characteristic is a setting of an image capture equipment of the drone. 4. The computer implemented method of claim 1 , wherein the operational characteristic is a setting of the audio capture equipment of the drone. 5. The computer implemented method of claim 1 , wherein the operational characteristic adjusts a noise level of the drone. 6. The computer implemented method of claim 1 , wherein the operational characteristic adjusts a flying height of the drone. 7. The computer implemented method of claim 1 , wherein the plurality of data samples further comprises a plurality of images captured by an image capture equipment of the drone from respective distances. 8. The computer implemented method of claim 1 , wherein the geo-fence is a first geo-fence, the drone is a first drone, and wherein the method further comprises: configuring the first geo-fence for the geographic area based on the selected data sample, the first geo-fence corresponding to the first drone; and configuring a second geo-fence for the geographic area based on the selected data sample from the first drone, the second geo-fence corresponding to a second drone. 9. A system for configuring dynamic geo-fences, the system comprising: a memory configured to store a plurality of data samples comprising a plurality of audio samples captured by an audio capture equipment of a drone from respective distances; and a processor configured to: select, from the plurality of data samples, a selected data sample as a threshold; configure a geo-fence for a geographic area based on the selected data sample; determine audio attributes of the selected data sample from the plurality of audio samples; identify a current value of an operational characteristic of the drone; identify a second value of the operational characteristic, wherein audio attributes of an audio captured by the audio capture equipment using the second value are within a predetermined threshold of the audio attributes of the selected data sample; and adjust the operational characteristic of the drone to the second value while the drone is in the geographic area, wherein the operational characteristic is adjusted based on a configuration of the drone and the geo-fence. 10. The system of claim 9 , wherein the drone is a first drone, and wherein the geo-fence adjusts the operational characteristic of the first drone to a first value, and the operational characteristic of a second drone to a third value, the first value being distinct from the third value. 11. The system of claim 9 , wherein the operational characteristic is a setting of an image capture equipment of the drone. 12. The system of claim 9 , wherein the operational characteristic is a setting of the audio capture equipment of the drone. 13. The system of claim 9 , wherein the operational characteristic adjusts a noise level of the drone. 14. The system of claim 9 , wherein the plurality of data samples further comprises a plurality of images captured by an image capture equipment from respective distances. 15. The system of claim 9 , wherein the geo-fence is a first geo-fence, the drone is a first drone, and wherein the processor is further configured to: setup the first geo-fence for the geographic area based on the selected data sample, the first geo-fence corresponding to the first drone; and setup a second geo-fence for the geographic area based on the selected data sample from the first drone, the second geo-fence corresponding to a second drone. 16. A computer program product for configuring dynamic geo-fences, the computer product comprising a non-transitory computer readable storage medium, the computer readable storage medium comprising computer executable instructions, wherein the computer readable storage medium comprises instructions to: access a plurality of data samples comprising a plurality of audio samples captured by an audio capture equipment of a drone from respective distances; select, from the plurality of data samples, a selected data sample as a threshold; configure a geo-fence for a geographic area based on the selected data sample; determine audio attributes of the selected data sample from the plurality of audio samples; identify a current value of an operational characteristic of the drone; identify a second value of the operational characteristic, wherein audio attributes of an audio captured by the audio capture equipment using the second value are within a predetermined threshold of the audio attributes of the selected data sample; and adjust the operational characteristic of the drone to the second value while the drone is in the geographic area, wherein the operational characteristic is adjusted based on a configuration of the drone and the geo-fence. 17. The computer program product of claim 16 , wherein the drone is a first drone, and wherein the geo-fence adjusts the operational characteristic of the first drone to a first value, and the operational characteristic of a second drone to a second value, the first value being distinct from the second value. 18. The computer program product of claim 16 , wherein the operational characteristic is one of a setting of an image capture equipment, a setting of the audio capture equipment, a setting associated with a noise level, and a setting associated with a flying height of the drone. 19. The computer program product of claim 16 , wherein the plurality of data samples further comprises a plurality of images captured by an image capture equipment of the drone from respective distances. 20. The computer program product of claim 16 , wherein the geo-fence is a first geo-fence, the drone is a first drone, and wherein the computer readable storage medium further comprises instructions to: setup the first geo-fence for the geographic area based on the selected data sample, the first geo-fence corresponding to the first drone; and setup a second geo-fence for the geographic area based on the selected data sample from the first drone, the second geo-fence corresponding to a second drone.
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