Proceedings of the Annual Conference of JSAI
Online ISSN : 2758-7347
34th (2020)
Session ID : 4L2-GS-13-04
Conference information

Deep Learning Image Recognition for Jet Engine Maintenance
*Hitoshi HATTORIKazuo YONEKURAMasaya KURIBARAMasanori HASEGAWANozomu HASHIZUMEKoji TOKUNAGA
Author information
CONFERENCE PROCEEDINGS FREE ACCESS

Details
Abstract

We have been propelling AI researches to create new value for jet engine maintenance service. Our first attempt is applying AI to engine parts damage recognition to reduce workload. Since engine parts damage information is necessary for customer reports, a large number of images have to be sorted in a correct order. However, it is sorted manually and it takes half a day for one report. In this paper, we present image classification system for the engine parts.

Content from these authors
© 2020 The Japanese Society for Artificial Intelligence
Previous article Next article
feedback
Top