Deep Power Vision Technology and Intelligent Vision Sensors: 2nd Edition
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensing and Imaging".
Deadline for manuscript submissions: 28 February 2025 | Viewed by 100
Special Issue Editors
Interests: computer vision; deep learning; power vision technology; facial attributes analysis
Special Issues, Collections and Topics in MDPI journals
Interests: power vision technology; power information technology; deep learning
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
An important component of power artificial intelligence technology, deep power vision technology is the application of deep learning-based computer vision technology in power systems. The electric power system is a key national infrastructure, and its safe and stable operation is linked to the national economy and people’s livelihoods, as well as the sustainable development of society. At present, an increasing number of inspection images and videos are obtained through vision sensors on helicopters, unmanned aerial vehicles, and robots. In order to improve the efficiency of power inspection and ensure the safe and stable operation of the electric power system, it has become a necessary to apply computer vision and deep learning to visually process the goals and defects of power plants, transmission lines, substations, and distribution lines in electric power systems.
The goal of this Special Issue is to provide a platform for the exchange of research, technical trends, and practical experience related to deep power vision technology and intelligent vision sensors. We are soliciting original papers of unpublished and completed research that is not currently under review by any other conference/magazine/journal. Topics of interest include but are not limited to the following:
- Deep learning-based computer vision technology in transmission or distribution line inspection;
- Deep learning-based computer vision technology in substation inspection;
- Deep learning-based computer vision technology in power plant inspection;
- Lightweight models for intelligent vision sensors;
- Model compression for intelligent vision sensors.
Prof. Dr. Ke Zhang
Prof. Dr. Yincheng Qi
Guest Editors
Manuscript Submission Information
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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- power vision technology
- deep learning
- intelligent vision sensors
Related Special Issue
- Deep Power Vision Technology and Intelligent Vision Sensors in Sensors (11 articles)
