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Demonstration Video: Ceiling Damage Detection Using Efficient GAN

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posted on 2025-01-31, 03:50 authored by Yoshihiro NITTA, Yu Fukutomi, Masashi Abe, Yoshitaka Suzuki, Masayoshi Nakashima, Akira Nishitani
  • presentation.mp4:This video is presentation of the “Ceiling Damage Detection Using Efficient GAN”
  • EfficientGAN.mp4:This video demonstrates ceiling damage detection using an Efficient GAN trained on images of undamaged ceilings. The video also displays the anomaly score for each image. To simulate damage, inspection hatches are opened during the process. The ceiling images were captured using a small UGV (Unmanned Ground Vehicle). 

Funding

Japan Society for the Promotion of Science

History

Corresponding author email address

nitta.yoshihiro@g.ashikaga.ac.jp

Manuscript title (in Japanese)

Efficient GANによる天井の損傷箇所の検知

Copyright

© 2025 Japan Society of Civil Engineering

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    AI・データサイエンス論文集/Artificial Intelligence and Data Science

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