Topics:

1.Power Plant Vision:
Power plant vision mainly studies how to use computer vision technology to carry out intelligent detection of power generation equipment surface defects, such as the intelligent vision detection of wind power blade surface defects.

2.Photovoltaic Vision:
Photovoltaic vision refers to the realization of visual detection of photovoltaic modules through machine vision technology, involving many aspects,such as automatic detection of photovoltaic solar cells.

3.Substation Vision:
Substation vision studies how to use computer vision technology to realize the multidirectional information collection and integration task of substation integrated automation control system.

4.Transmission Line Channel Vision:
The research content of transmission line channel vision is how to use computer vision to realize the safe operation of transmission lines. For example, the transmission line channel of machine vision can be used to monitor and warn the damage caused by external forces to achieve the goal of safe operation of transmission lines.

5.Transmission Line Equipment Vision:
Transmission line equipment vision studies how to use computer vision to realize the intelligent detection of transmission line components defects, including the visual detection and recognition of obstacles in high voltage transmission lines.

organizers:

Wenqing Zhao, Professor (Main Organizer) Department of computer, North China Electric Power University, Baoding, China. zhaowenqing@ncepu.edu.cn

Yongjie Zhai, Professor Department of Automation, North China Electric Power University, Baoding, China. zhaiyongjie@ncepu.edu.cn

Zhenbing Zhao, Professor Department of Electronic and Communication Engineering, North China Electric Power University, Baoding, China. zhaozhenbing@ncepu.edu.cn