Abstract: An object detection device including at least one image capture element can capture image data in a field of view and detect types of objects located in that region. Information such as a direction of travel or speed of the object may be used to determine a relative position of the object of interest, for example relative to the object detection device or a target object. The data from multiple devices for a region can be aggregated such that objects can be tracked as they move though the region. Information about the relative position of the object of interest can be used to trigger alerts to users in the area.

Abstract: An unmanned aerial vehicle (UAV) can include one or more cameras for capturing image data within a field of view that depends in part upon the location and orientation of the UAV. At least a portion of the image data can be processed on the UAV to locate objects of interest, such as people or cars, and use that information to determine where to fly the drone in order to capture higher quality image data of those or other such objects. Once identified, the objects of interest can be counted, and the density, movement, location, and behavior of those objects identified. This can help to determine occurrences such as traffic congestion or unusual patterns of pedestrian movement, as well as to locate persons, fires, or other such objects. The data can also be analyzed by a remote system or service that has additional resources to provide more accurate results.