Application of visual mechanical signal detection and loading platform with super-resolution based on deep learning
Zhiquan Ding
School of Information Engineering, East China Jiaotong University, Nanchang, China
Search for more papers by this authorYu Zhao
School of Information Engineering, East China Jiaotong University, Nanchang, China
Search for more papers by this authorGuolong Zhang
School of Information Engineering, East China Jiaotong University, Nanchang, China
Search for more papers by this authorMeiling Zhong
School of Materials Science and Engineering, East China Jiaotong University, Nanchang, China
Search for more papers by this authorXiaohui Guan
The National Engineering Research Center for Bioengineering Drugs and the Technologies, Nanchang University, Nanchang, China
Search for more papers by this authorCorresponding Author
Yuejin Zhang
School of Information Engineering, East China Jiaotong University, Nanchang, China
Correspondence Yuejin Zhang, School of Information Engineering, East China Jiaotong University, Nanchang, 330013 Jiangxi, China.
Email: [email protected]
Search for more papers by this authorZhiquan Ding
School of Information Engineering, East China Jiaotong University, Nanchang, China
Search for more papers by this authorYu Zhao
School of Information Engineering, East China Jiaotong University, Nanchang, China
Search for more papers by this authorGuolong Zhang
School of Information Engineering, East China Jiaotong University, Nanchang, China
Search for more papers by this authorMeiling Zhong
School of Materials Science and Engineering, East China Jiaotong University, Nanchang, China
Search for more papers by this authorXiaohui Guan
The National Engineering Research Center for Bioengineering Drugs and the Technologies, Nanchang University, Nanchang, China
Search for more papers by this authorCorresponding Author
Yuejin Zhang
School of Information Engineering, East China Jiaotong University, Nanchang, China
Correspondence Yuejin Zhang, School of Information Engineering, East China Jiaotong University, Nanchang, 330013 Jiangxi, China.
Email: [email protected]
Search for more papers by this authorAbstract
A visual mechanical signal detection and loading platform with super-resolution based on deep learning is designed to improve the detection accuracy of mechanical signals. The visual mechanical signal detection and loading platform with super-resolution include three-dimensional (3D) biological force quantitative detection platform and the mechanical signal loading platform with 3D magnetic distortion and ultrahigh resolution. In the 3D biological force quantitative detection platform, four 3D force sensors are used to collect mechanical signals, and the improved fuzzy clustering fusion method is used to fuse the mechanical signals collected by 3D force sensors to improve the detection accuracy of mechanical signals. The mechanical signal loading platform of 3D magnetic distortion and ultrahigh resolution technology connects the 3D magnetic distortion instrument and microscope, collects images through high-speed scanning components and distorted magnetic field, reconstructs the collected images by deep learning method, obtains ultrahigh-resolution mechanical signal visual images, and triggers mechanical signal loading and release by synchronous interactive system. The consequences of the experiment demonstrate that the designed platform can display the super-resolution mechanical signals through the visual interface. The mechanical signals are loaded in different directions, and the detection accuracy of mechanical signals is higher than 99.5%.
CONFLICTS OF INTEREST
The authors declare no potential conflicts of interest.
Open Research
DATA AVAILABILITY STATEMENT
The raw data required for these findings cannot be shared at this time as it is also part of ongoing research.
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