Software-based Rotation Sensor Using High-Speed Video Analysis

被引：1

作者：

Wang, Feiyue ^{[1
]}

Ding, Fujian ^{[1
]}

Hu, Shaopeng ^{[1
]}

Shimasaki, Kohei ^{[2
]}

Ishii, Idaku ^{[1
]}

机构：

[1] Hiroshima Univ, Grad Sch Adv Sci & Engn, Hiroshima, Japan

[2] Hiroshima Univ Digital Monozukuri Mfg Educ & Res, Hiroshima, Japan

来源：

2022 IEEE SENSORS | 2022年

关键词：

High-speed vision; software sensor; machine monitoring; digital image correlation; SYSTEM;

D O I：

10.1109/SENSORS52175.2022.9967258

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this study, we proposed a novel concept of real-time software rotation sensor that can simultaneously detect the angles of multiple rotational objects in a high-speed video sequence. Our software sensor can be executed at 500 fps using parallel-implementing digital image correlation processes to inspect the similarities between the input image and 360 reference images at different angles on a GPU-based high-speed vision system. Its performance in measurement accuracy was verified using several experiments for multiple rotating gears monitored with partial occlusion in 500-fps videos, including multiple gears fast-rotating at 2400 rpm.

引用

页数：4

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