Patent ID: 11864551
Assignee: nan
Field: Computer technology (Electrical engineering)
Classification: CPC A  B  G | IPC A  B  G

Claim 0:
1. A machine learning artificial intelligence (“AI”) aerial wildlife survey and wounded game animal tracking process for completing accurate aerial wildlife surveys and tracking wounded game animals by machine learning and AI-supported filtering of non-relevant information comprising:
capturing thermal infrared (“IR”) video data of a geographical area by an onboard camera of an aerial drone;
performing quality analysis of the thermal IR video data by (i) inputting, by a quality analysis module of a video data processing computing device, the thermal IR video data captured by the onboard camera of the aerial drone, (ii) extracting, by the quality analysis module of the video data processing computing device, hue, saturation, and lightness channels from the thermal IR video data, (iii) normalizing colors, by the quality analysis module of the video data processing computing device, between the hue channel, the saturation channel, and the lightness channel, (iv) scaling, by the quality analysis module of the video data processing computing device, the extracted channels, (v) analyzing, by the quality analysis module of the video data processing computing device, hue space of the scaled channels, and (vi) merging, by the quality analysis module of the video data processing computing device, the channels into a single composite quality analyzed video;
outputting the quality analyzed video after performing quality analysis of the thermal IR video data;
inputting the quality analyzed video to perform feature and frame extraction;
compiling and outputting a list of frame to be analyzed in the quality analyzed video after feature and frame extraction is completed;
receiving the list of frames to be analyzed;
loading each image that corresponds to a listed frame in the list of frames;
performing frame analysis of each loaded image to generate heat signatures that qualify objects in the image as one of an animal and a non-animal object; and
counting the qualifying heat signatures in an aerial wildlife survey covering the geographical area.