公开(公告)号：US20240203151A1

公开(公告)日：2024-06-20

申请号：US18553688

申请日：2022-02-18

Applicant: UNIVERSITY OF SOUTH FLORIDA

Inventor： Ryan M. CARNEY ,  Sriram CHELLAPPAN

IPC: G06V40/10 ,  G06V10/22 ,  G06V10/25 ,  G06V10/764 ,  G06V10/77 ,  G06V10/82 ,  G06V10/94

CPC classification number: G06V40/10 ,  G06V10/225 ,  G06V10/25 ,  G06V10/764 ,  G06V10/7715 ,  G06V10/82 ,  G06V10/94

Abstract: Images of an insect larva are subjected to at least a first convolutional neural network to develop feature maps based on anatomical pixels at corresponding image locations in the respective feature maps. The anatomical pixels correspond to a body part of the insect larva. A computer uses a plurality of feature maps form an integrated feature map and bounding boxes on anatomical pixels corresponding to a head, thorax, abdomen, or terminal abdomen area of the insect larva. A classification network identifies the genus, the species, the sex, or the life stage of the insect larva.