Title

Visual detection of milling surface roughness based on improved YOLOV5

Journal title

Metrology and Measurement Systems

Yearbook

2023

Volume

vol. 30

Issue

No 3

Affiliation

Lv, Xiao : School of Mechanical and Control Engineering, Guilin University of Technology, Guilin, 541006,People’s Republic of China ; Yi, Huaian : School of Mechanical and Control Engineering, Guilin University of Technology, Guilin, 541006,People’s Republic of China ; Fang, Runji : School of Mechanical and Control Engineering, Guilin University of Technology, Guilin, 541006,People’s Republic of China ; Ai, Shuhua : School of Mechanical and Control Engineering, Guilin University of Technology, Guilin, 541006,People’s Republic of China ; Lu, Enhui : School of Mechanical Engineering, Yangzhou University, Yangzhou, 225009, People’s Republic of China

Authors

Lv, Xiao ; Yi, Huaian ; Fang, Runji ; Ai, Shuhua ; Lu, Enhui

Keywords

Surface roughness ; improved Yolov5 ; detection speed ; attentional mechanisms

Divisions of PAS

Nauki Techniczne

Coverage

531-548

Publisher

Polish Academy of Sciences Committee on Metrology and Scientific Instrumentation

Date

2023.10.27

Type

Article

Identifier

DOI: 10.24425/mms.2023.146425