Substation Personnel Monitoring Based on YOLOX

Substation safety constitutes a vital aspect of electrical security, with monitoring of on-site personnel being of paramount importance. Due to the extensive jurisdiction over numerous substations within the province, manual verification suffers from inefficiencies and low coverage, thereby posing security risks. In response to these challenges, Anhui province has leveraged surveillance video footage within substations to implement intelligent personnel recognition. This initiative involves the development of a detection system based on the YOLOX model. Experimental results validate the superior performance of the YOLOX model compared to alternative approaches, underscoring its efficacy in enhancing substation safety through intelligent personnel recognition.

Authors

Institutions

Publication Details

Published
2024-09-12
DOI
https://doi.org/10.1109/icfsp62546.2024.10785373
Primary Topic
Advanced Sensor and Control Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Substation Personnel Monitoring Based on YOLOX

Rui Jin, Rong Zhang
Advanced Sensor and Control Systems
article

Substation Personnel Monitoring Based on YOLOX

Rui Jin, Rong Zhang
article en

Abstract

Substation safety constitutes a vital aspect of electrical security, with monitoring of on-site personnel being of paramount importance. Due to the extensive jurisdiction over numerous substations within the province, manual verification suffers from inefficiencies and low coverage, thereby posing security risks. In response to these challenges, Anhui province has leveraged surveillance video footage within substations to implement intelligent personnel recognition. This initiative involves the development of a detection system based on the YOLOX model. Experimental results validate the superior performance of the YOLOX model compared to alternative approaches, underscoring its efficacy in enhancing substation safety through intelligent personnel recognition.

University of Science and Technology of China (CN)
Openalex Percentile: Top 73%
Advanced Sensor and Control Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.