The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Nov. 07, 2023
Filed:
Mar. 24, 2021
Shanghai Jiaotong University, Shanghai, CN;
Yadong Liu, Shanghai, CN;
Yingjie Yan, Shanghai, CN;
Siheng Xiong, Shanghai, CN;
Ling Pei, Shanghai, CN;
Zhe Li, Shanghai, CN;
Peng Xu, Shanghai, CN;
Lei Su, Shanghai, CN;
Xiaofei Fu, Shanghai, CN;
Xiuchen Jiang, Shanghai, CN;
Shanghai Jiaotong University, Shanghai, CN;
Abstract
The present disclosure provide a method for identifying power equipment targets based on human-level concept learning, including: creating a dataset of power equipment images, and annotating power equipment in power equipment images; training neural network and Bayesian network with the annotated dataset and respectively acquire identification results and conditional probabilities; calculating probabilities of unions with the conditional probabilities; and filtering the identification result corresponding to the highest probability of the union as identification result of the dataset of the power equipment images and complete the identification of the power equipment. The present disclosure combines Mask R-CNN and probabilistic graphical model. The bottom layer uses Mask R-CNN, and the top layer uses Bayesian network to train in identifying power equipment images, so that a small amount of data samples can achieve good recognition, which improved the performance of Mask R-CNN model.