(Accepted Version) Online First Publishing Date: 2023-11-03 16:17:18

Helmet detection method based on improved YOLOv5Chinese Full Text English Full Text (MT)

HOU Gongyu;CHEN Qinhuang;YANG Zhenhua;ZHANG Youwen;ZHANG Danyang;LI Haoxiang;

Abstract: To address the challenge of low detection accuracy in existing safety helmet detection algorithms， particularly in scenarios with small targets， dense environments， and complex surroundings like construction sites， tunnels， and coal mines， we introduce an enhanced object detection approach， denoted as YOLOv5-GBCW. Our methodology includes several key innovations. First， we apply Ghost convolution to overhaul the backbone network， considerably reducing model complexity， decreasing computational r... More

Keywords：

helmet; target detection; YOLOv5; attention mechanism; BiFPN;

Series：
(I) Electronic Technology ＆ Information Science
Subject：
Computer Software and Application of Computer
Classification Code：
TP391.41

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