公开(公告)号：US20250131699A1

公开(公告)日：2025-04-24

申请号：US18822416

申请日：2024-09-02

Applicant: Beijing University of Technology

Inventor： Honggui HAN ,  Xiaoye FAN ,  Fangyu LI

IPC: G06V10/80 ,  G06V10/12 ,  G06V10/774 ,  G06V10/82 ,  G06V20/60

Abstract: A method for identifying waste household appliances based on multi-source data fusion is applied to a waste household appliance dismantling plant. To accurately identify the class of waste household appliances and achieve effective dismantling, the patented technology of the invention utilizes a generative adversarial network model to obtain multi-source data, constructs a hierarchical multi-source data interaction model for multi-source data feature interaction, and establishes a multi-source data fusion model based on complementary networks. The method achieves complementary learning of multi-source data features and obtains discriminative features. The method achieves high-precision identification of waste household appliances in the process of waste household appliance recycling under different lighting conditions.