Deep Neural Network Recognition of Rivet Joint Defects in Aircraft Products

Deep Neural Network Recognition of Rivet Joint Defects in Aircraft Products

The mathematical statement of the problem of recognizing rivet joint defects in aircraft products is given. A computational method for the recognition of rivet joint defects in aircraft equipment based on video images of aircraft joints has been proposed with the use of neural networks YOLO-V5 for d...

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Bibliographic Details
Main Authors: Oleg Semenovich Amosov, Svetlana Gennadievna Amosova, Ilya Olegovich Iochkov
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Sensors
Subjects:
defect
rivet joint
aircraft equipment
detection
classification
pattern recognition
Online Access:https://www.mdpi.com/1424-8220/22/9/3417

Internet

https://www.mdpi.com/1424-8220/22/9/3417

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