Real-time Object Detection for Substation Security Early-warning with Deep Neural Network based on YOLO-V5-Reference-Cited by-同舟云学术

Real-time Object Detection for Substation Security Early-warning with Deep Neural Network based on YOLO-V5

Published:2022-05-20 Issue: Volume: Page:
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Container-title:2022 IEEE IAS Global Conference on Emerging Technologies (GlobConET)
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Author:

Xiao Yaohui¹,Chang An¹,Wang Yufeng¹,Huang Yu¹,Yu Junsong¹,Huo Lihai¹

Affiliation:

1. Power Transmission Company,Maintainance and Test Center of CSG EHV,China

Publisher

IEEE

Link

Reference25 articles.

1. Design of fire detecting system for substation [J];wu;Anhui Electirc,2014

2. Flame recognition method based on adaptive mixture Gaussian model [J];liu;Fire Science and Technology,2019

3. Study on the application of neural network on transformer substation fire management [J];li;Fire Science and Technology,0

4. Flame Detection Based on Faster R-CNN Model [J];yan;Journal of Nanjing Normal University (Natural Science Edition),2018

5. Video flame detection using motion memory matrix and flame jumping frequency [J];cao;Fire Science and Technology,2019

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