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

Claim 5:
6. 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;
outputting a 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 by (i) performing erosion and dilation of the loaded image, (ii) performing a connected component analysis after erosion and dilation, (iii) generating a heat signature for the loaded image, and (iv) performing a geometrical analysis of the heat signature at a pixel level of the loaded image; and
counting the qualifying heat signatures in an aerial wildlife survey covering the geographical area.