Imaging array for bird or bat detection and identification
An automated system for mitigating risk from a wind farm. The automated system may include an array of a plurality of image capturing devices independently mounted in a wind farm. The array may include a plurality of low resolution cameras and at least one high resolution camera. The plurality of low resolution cameras may be interconnected and may detect a spherical field surrounding the wind farm. A server is in communication with the array of image capturing devices. The server may automatically analyze images to classify an airborne object captured by the array of image capturing devices in response to receiving the images.
1 . An automated system for tracking object motion in a designated area, the automated system comprising:
an array of image capturing devices independently mounted in a designated area;
the array including:
a network of wide field of view cameras and
two or more tracking cameras;
wherein the network of wide field of view cameras are interconnected with at least one of the wide field of view cameras having a field of view pointed upward to detect a geometric field surrounding the designated area and the interconnected wide field of view cameras provide a combined field of view to monitor airspace in all approachable directions around the designated area; and
a server in communication with the array of image capturing devices;
to classify an airborne object captured by the array of image capturing devices in response to receiving the images.
2 . The automated system of claim 1 , wherein the two or more tracking cameras are arranged with overlapping fields of view to provide stereoscopic imaging of the airborne object.
3 . The automated system of claim 1 , wherein an image of the airborne object captured from at least one of the tracking cameras has more pixels on the airborne object than an image of the airborne object captured by the network of wide field of view cameras.
4 . The automated system of claim 1 , wherein the two or more tracking cameras are independently mounted to a pan and tilt system.
5 . The automated system of claim 1 , wherein the wide field of view cameras together provide substantially hemispherical coverage.
6 . The automated system of claim 1 , wherein the network of wide field of view cameras are mounted with fixed fields of view for detection of the airborne object.
7 . The automated system of claim 1 , wherein the server is in communication with a plurality of wind towers, wherein the server initiates mitigation efforts of at least one of the plurality of wind towers when a predetermined species is within a predetermined distance of the at least one of the plurality of wind towers.
8 . The automated system of claim 7 , wherein the mitigation efforts comprise an automatic curtailment of blades of the wind tower.
9 . The automated system of claim 7 , wherein the predetermined distance is measured from at or near the base of the wind tower.
10 . The automated system of claim 9 , wherein the predetermined distance is between about 600 m and about 1000 m.
11 . The automated system of claim 1 , wherein the two or more tracking cameras are arranged in pairs.
12 . A method of surveying a population of a predetermined species in a designated area, the method comprising the steps of:
mounting an array of image capturing devices in a designated area, wherein the array of image capturing devices includes an interconnected network of wide field of view cameras and two or more tracking cameras, wherein at least one of the wide field of view cameras has a field of view pointed upward to detect a geometric field surrounding the designated area and the interconnected wide field of view cameras provide a combined field of view to monitor airspace in all approachable directions around the designated area;
detecting an airborne object in the designated area with one or more of the wide field of view cameras to generate wide field of view (WFOV) images;
activating the two or more tracking cameras with a controller to track the detected airborne object from the detecting step in the designated area and to provide tracking camera images of the airborne object;
automatically providing the WFOV images, the tracking camera images, or a combination thereof to a server to determine whether the airborne object is a predetermined species of interest; and
collecting data on the predetermined species of interest;
thereby surveying the population of a predetermined species.
13 . The method of claim 12 , wherein the wide field of view cameras provide substantially hemispherical coverage.
14 . The method of claim 12 , wherein the data comprises the number of instances in which the predetermined species of interest is detected.
15 . The method of claim 12 , wherein the analyzing step comprises analyzing one or more of colors, shapes, sizes, and flight characteristics of the airborne object to determine whether the airborne object is the predetermined species of interest.
16 . The method of claim 12 , further comprising transmitting the data about the predetermined species of interest to a device for storage.
17 . The method of claim 12 , wherein the WFOV images, the tracking camera images, or a combination thereof are automatically provided to the server through a computing device.
18 . The method of claim 12 , further comprising generating a stereoscopic image with the server based on the WFOV images, the tracking camera images, or a combination thereof.
19 . The method of claim 12 , wherein the designated area is an airport, a prison, a stadium, a research facility, a wind farm, a solar farm, a developmental area, a construction site, a national monument, a national park, or any combination thereof.
20 . The method of claim 12 , further comprising evaluating whether to construct a wind turbine or a wind turbine farm in or around the designated area based at least in part on the data collected on the predetermined species of interest.