Deep Power Vision Technology and Intelligent Vision Sensors

Ke Zhang; Yincheng Qi

doi:10.3390/s23249626

Deep Power Vision Technology and Intelligent Vision Sensors

Sensors (Basel). 2023 Dec 5;23(24):9626. doi: 10.3390/s23249626.

Authors

Ke Zhang¹, Yincheng Qi¹

Affiliation

¹ Department of Electronic & Communication Engineering, School of Electrical and Electronic Engineering, North China Electric Power University, 619 Yonghuabei Dajie, Baoding 071000, China.

Abstract

With the rapid development of the power system and the increasing burden of its inspection, more attention has been paid to the automatic inspection technologies based on deep power vision technology and intelligent vision sensors [...].

Publication types

Editorial

Grants and funding

This work was supported in part by the National Natural Science Foundation of China (NSFC) under Grant 62076093, Grant 62206095, and Grant 61871182; and in part by the Fundamental Research Funds for the Central Universities under Grant 2023JG002, Grant 2022MS078 and Grant 2023JC006.