Abstract: Methods of evaluating populations of deer are disclosed that include receiving a series of images containing deer; utilizing artificial intelligence object detection to identify deer from the series of images; utilizing spatial relationships between points to create an image scale; identifying a set of metrics associated with the deer; evaluating the gender of the deer; and utilizing a repeat matching technique to evaluate if the deer is a likely reappearance of a previously identified deer.

Abstract: Methods of evaluating animal activity relating to wildlife areas are disclosed that include running a digital classification routine to recognize particular species in a series of images. From those images data records are developed having the ability to identify timing information, the species, the location, celestial characteristics and atmospheric characteristics. The data records are analyzed to establish correlations between various associated features and the presence of the particular species. Data associated with future celestial characteristics and atmospheric characteristics is obtained and estimated probabilities of future appearances of the particular species are calculated and provided.