An aircraft surface damage inspection method based on improved SSD

Hongjun Qiu; Daitao Wang; Wenjing Yu

doi:10.1117/12.2680145

27 June 2023 An aircraft surface damage inspection method based on improved SSD

Hongjun Qiu, Daitao Wang, Wenjing Yu

Proceedings Volume 12705, Fourteenth International Conference on Graphics and Image Processing (ICGIP 2022); 127050Q (2023) https://doi.org/10.1117/12.2680145
Event: Fourteenth International Conference on Graphics and Image Processing (ICGIP 2022), 2022, Nanjing, China

Abstract

Aiming at the current weakness of aircraft airline maintenance and the requirement of developing aircraft surface inspection system based on machine vision: high precision, real-time and portability, an automatic aircraft surface damage inspection method based on improved SSD was studied. Firstly, the characteristics of aircraft surface damage data are analyzed, the types of aircraft surface damage based on image feature are specified, a feasible aircraft surface damage sample standard is established. And then, based on basic SSD, combined with MobileNet and FPN, a multi-scale convolutional neural network model, SSD_MobileNet, is constructed to intend to perform the automatic aircraft surface damage inspection. Experimental results show that its mAP can reach 65.6%, FPS can reach 25.9, and only 25M of program size, and the automatic location and classification of aircraft surface damage can be realized. The designed inspection method achieves a better comprehensive performance in the inspection precision, speed and program size, and is suitable for deployment on portable aircraft maintenance equipment.

Citation Download Citation

Hongjun Qiu, Daitao Wang, and Wenjing Yu "An aircraft surface damage inspection method based on improved SSD", Proc. SPIE 12705, Fourteenth International Conference on Graphics and Image Processing (ICGIP 2022), 127050Q (27 June 2023); https://doi.org/10.1117/12.2680145

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KEYWORDS

Inspection

Education and training

Skin

Image fusion

Machine vision

Target detection

Data modeling

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