公开(公告)号：US11881014B2

公开(公告)日：2024-01-23

申请号：US18155461

申请日：2023-01-17

申请人： Hebei University of Technology

发明人： Bin Cao ,  Jianwei Zhao ,  Xin Liu ,  Hua He ,  Yuchun Chang ,  Yun Li

IPC分类号： G06N3/08 ,  G06V10/82 ,  G06N3/082 ,  G06N3/098 ,  G06N3/043

CPC分类号： G06V10/82 ,  G06N3/043 ,  G06N3/082 ,  G06N3/098

摘要： The present invention discloses an intelligent image sensing device for sensing-computing-cloud integration based on a federated learning framework. The device comprises: intelligent image sensors, edge servers and a remote cloud, wherein the intelligent image sensor is used for perceiving and generating images, and uploading the images to the edge server; the edge server is used as a client; the remote cloud is used as a server; the clients train a convolutional fuzzy rough neural network based on the received images and the proposed federated learning framework; and the intelligent image sensors download the weight parameters of the trained convolutional fuzzy rough neural network from the clients, and classify and recognize the images based on the trained weight parameters. The present invention searches a lightweight deep learning architecture through neuroevolution, and deploys the lightweight deep learning architecture in the image sensors to automatically discriminate and analyze the perceived images.