Abstract: The disclosed implementations offer techniques for using different motion sensitivity settings for a trail camera to flexibly control how the trail camera captures images. For instance, a trail camera can be provided with multiple motion sensors configurable to different sensitivities, and can have different image capture settings depending on which motion sensor triggers. In other implementations, a single motion sensor can output a magnitude of a detection signal to similarly control image capture settings.

Abstract: Example techniques are disclosed for processing of animal calls. For example, sound can be matched to one or more reference calls to identify whether the sound matches the reference calls. In one example, a user operates an animal calling device and is provided with feedback on whether they have correctly operated the calling device, e.g., whether they sound like the animal they are trying to emulate. In another example, a trail camera is provided that generates a log of animal calling activity while taking pictures of animals moving through a given area.

Abstract: Example techniques are disclosed for performing optical recognition of fish. For example, image features can be extracted from an image of a fish and used in conjunction with location or time information to determine a species of the fish. The classification can be performed with one or more trained classifiers that are trained using training images of fish having labels indicating species of the fish.

Abstract: Example techniques are disclosed for leveraging outdoor data. For example, an analysis engine can be trained based on fishing reports or hunting reports to learn various information about hunting or fishing. As another example, data reports can be provided to various agencies based on received hunting reports or fishing reports. As another example, fish reporting menus can be populated on a client device based on location. As another example, a trail camera can be configured to provide hunting analyzes to a user.