@article{ART002880862},
author={Su-Min Kim and Jung-Mo Sohn},
title={Abnormality Detection Method of Factory Roof Fixation Bolt by Using AI},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2022},
volume={27},
number={9},
pages={33-40},
doi={10.9708/jksci.2022.27.09.033}
TY - JOUR
AU - Su-Min Kim
AU - Jung-Mo Sohn
TI - Abnormality Detection Method of Factory Roof Fixation Bolt by Using AI
JO - Journal of The Korea Society of Computer and Information
PY - 2022
VL - 27
IS - 9
PB - The Korean Society Of Computer And Information
SP - 33
EP - 40
SN - 1598-849X
AB - In this paper, we propose a system that analyzes drone photographic images of panel-type factory roofs and conducts abnormal detection of bolts. Currently, inspectors directly climb onto the roof to carry out the inspection. However, safety accidents caused by working conditions at high places are continuously occurring, and new alternatives are needed. In response, the results of drone photography, which has recently emerged as an alternative to the dangerous environment inspection plan, will be easily inspected by finding the location of abnormal bolts using deep learning. The system proposed in this study proceeds with scanning the captured drone image using a sample image for the situation where the bolt cap is released. Furthermore, the scanned position is discriminated by using AI, and the presence/absence of the bolt abnormality is accurately discriminated. The AI used in this study showed 99% accuracy in test results based on VGGNet.
KW - AI;Image scanning;Anomaly detection;VGGNet;Roof bolt
DO - 10.9708/jksci.2022.27.09.033
ER -
Su-Min Kim and Jung-Mo Sohn. (2022). Abnormality Detection Method of Factory Roof Fixation Bolt by Using AI. Journal of The Korea Society of Computer and Information, 27(9), 33-40.
Su-Min Kim and Jung-Mo Sohn. 2022, "Abnormality Detection Method of Factory Roof Fixation Bolt by Using AI", Journal of The Korea Society of Computer and Information, vol.27, no.9 pp.33-40. Available from: doi:10.9708/jksci.2022.27.09.033
Su-Min Kim, Jung-Mo Sohn "Abnormality Detection Method of Factory Roof Fixation Bolt by Using AI" Journal of The Korea Society of Computer and Information 27.9 pp.33-40 (2022) : 33.
Su-Min Kim, Jung-Mo Sohn. Abnormality Detection Method of Factory Roof Fixation Bolt by Using AI. 2022; 27(9), 33-40. Available from: doi:10.9708/jksci.2022.27.09.033
Su-Min Kim and Jung-Mo Sohn. "Abnormality Detection Method of Factory Roof Fixation Bolt by Using AI" Journal of The Korea Society of Computer and Information 27, no.9 (2022) : 33-40.doi: 10.9708/jksci.2022.27.09.033
Su-Min Kim; Jung-Mo Sohn. Abnormality Detection Method of Factory Roof Fixation Bolt by Using AI. Journal of The Korea Society of Computer and Information, 27(9), 33-40. doi: 10.9708/jksci.2022.27.09.033
Su-Min Kim; Jung-Mo Sohn. Abnormality Detection Method of Factory Roof Fixation Bolt by Using AI. Journal of The Korea Society of Computer and Information. 2022; 27(9) 33-40. doi: 10.9708/jksci.2022.27.09.033
Su-Min Kim, Jung-Mo Sohn. Abnormality Detection Method of Factory Roof Fixation Bolt by Using AI. 2022; 27(9), 33-40. Available from: doi:10.9708/jksci.2022.27.09.033
Su-Min Kim and Jung-Mo Sohn. "Abnormality Detection Method of Factory Roof Fixation Bolt by Using AI" Journal of The Korea Society of Computer and Information 27, no.9 (2022) : 33-40.doi: 10.9708/jksci.2022.27.09.033
