Commercial drone detection

1. A method of capturing the presence of a drone, comprising: collecting, using an array of pods, data associated with an aerial object, each pod in the array of pods comprising a plurality of sensors capable of collecting different types of the data, wherein the different types of data comprise at least two types of data selected from the group consisting of video data, acoustic data, and radiofrequency communication data; determining a confidence score for each of the different types of the data, wherein the confidence score is a representation of data quality; analyzing, using a processor, the different types of 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; prioritizing the different types of the data based on a current weather condition, wherein the prioritizing comprises ignoring types of the different types of the data identified as having a confidence score below a predetermined threshold in the current weather condition; determining, based on the analyzing and the prioritizing, 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. 2. The method of claim 1, wherein the at least one characteristic of the aerial object is selected from the group consisting of physical appearance, noise signature and operating frequency. 3. The method of claim 2, wherein the operating frequency comprises a control communication frequency. 4. The method of claim 2, further comprising: determining, from the data associated with the aerial object, an operating frequency of the aerial object; and collecting, using a receiver and storage device, communication data of the aerial object. 5. The method of claim 4, further comprising analyzing the communication data to obtain one or more of video data and image data captured by the aerial object. 6. The method of claim 1, wherein the at least one sensor comprises an array of video cameras; said method further comprising: sending, to a server, video data captured by the array of video cameras; and stitching together the video data captured by the array of video cameras to create a field of view greater than a specified field of view of any individual video camera. 7. The method of claim 6, further comprising: identifying at least one video camera in the array of video cameras that detects the aerial object; and placing the at least one video camera into an isolation mode. 8. The method of claim 7, further comprising operating the at least one video camera in isolation mode in response to operator inputs. 9. A system for detecting the presence of a drone, comprising: an array of pods, each pod in the array comprising a plurality of sensors capable of collecting different types of data, wherein the different types of data comprise at least two types of data selected from the group consisting of video data, acoustic data, and radiofrequency data; an electronic device including a processor that is operatively coupled to the array of pods; a memory device that stores instructions executable by the processor to: collect, using the array of pods, data associated with an aerial object; determine a confidence score for each of the different types of the data, wherein the confidence score is a representation of data quality; analyze the different types of 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; prioritize the different types of the data based on a current weather condition, wherein the prioritizing comprises ignoring types of the different types of the data identified as having a confidence score below a predetermined threshold in the current weather condition; determine, based on the analyzing and the prioritizing, 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. 10. The system of 9, wherein the at least one characteristic of the aerial object is selected from the group consisting of physical appearance, noise signature and operating frequency. 11. The system of claim 10, wherein the operating frequency comprises a control communication frequency. 12. The system of claim 10, wherein the instructions are further executable by the processor to: determine, from the data associated with the aerial object, an operating frequency of the aerial object; and collect, using a receiver and storage device, communication data of the aerial object. 13. The system of claim 12, wherein the instructions are further executable by the processor to: analyze the communication data to obtain one or more of video data and image data captured by the aerial object. 14. The system of claim 10, wherein the at least one sensor comprises an array of video cameras; and wherein the instructions are further executable by the processor to: send, to a server, video data captured by the array of video cameras; and stitch together the video data captured by the array of video cameras to create a field of view greater than a specified field of view of any individual video camera. 15. The system of claim 14, wherein the instructions are further executable by the processor to: identify at least one video camera in the array of video cameras that detects the aerial object; and place the at least one video camera into an isolation mode. 16. The system of claim 15, wherein the instructions are further executable by the processor to: operate, the at least one video camera in isolation mode in response to operator inputs. 17. 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 an array of pods, data associated with an aerial object, each pod in the plurality of comprising a plurality of sensors capable of collecting different types of the data, wherein the different types of data comprise at least two types of data selected from the group consisting of video data, acoustic data, and radiofrequency communication data; code that determines a confidence score for each of the different types of the data, wherein the confidence score is a representation of data quality; code that analyzes, using a processor, the different types of 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 prioritizes the different types of the data based on a current weather condition, wherein the code that prioritizes comprises code that ignores types of the different types of the data identified as having a confidence score below a predetermined threshold in the current weather condition; code that determines, based on the analyzing and using the different types of the data having a confidence score greater than a predetermined threshold, 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.