Pedestrian Detection and Type Recognition around Electric Communication Equipment

Abstract

Today, with the increasing development of electrification, there are more and more peripheral devices
that need to be monitored, such as electric communication equipment. If there are pedestrians
entering the surrounding area of the monitoring area in violation of regulations, it is likely to cause
equipment failure or even catastrophic personal safety accidents. Therefore, conducting research on
pedestrian detection around electric communication equipment and identification of specific types
of workers is of great significance for improving the economic and social benefits of enterprises.
The pedestrian detection and specific worker type recognition method implemented by this design
can complete the functions of reading video streams, detecting dynamic objects, judging pedestrian
targets, and recognizing personnel types. It has the advantages of high accuracy, convenient configuration,
low hardware requirements, and good real-time performance. This method basically meets
the actual environmental requirements of this article.