거푸집 부재 인식을 위한 인공지능 이미지 분할

• 영문명: Artificial Intelligence Image Segmentation for Extracting Construction Formwork Elements
• 발행기관: 한국BIM학회
• 저자명: 아이샤 무니라 초드리(Chowdhury, Ayesha Munira) 문성우(Moon, Sung-Woo)
• 간행물 정보: 『KIBIM Magazine』KIBIM Magazine 12권 1호, 1~9쪽, 전체 9쪽
• 주제분류: 공학 > 건축공학
• 파일형태: PDF
• 발행일자: 2022.03.30

영문 초록

Concrete formwork is a crucial component for any construction project. Artificial intelligence offers great potential to automate formwork design by offering various design options and under different criteria depending on the requirements. This study applied image segmentation in 2D formwork drawings to extract sheathing, strut and pipe support formwork elements. The proposed artificial intelligence model can recognize, classify, and extract formwork elements from 2D CAD drawing image and training and test results confirmed the model performed very well at formwork element recognition with average precision and recall better than 80%. Recognition systems for each formwork element can be implemented later to generate 3D BIM models.

목차

1. Introduction

2. CNN model overview

3. Formwork AI model structure

4. Result and Discussion

5. Conclusion

Acknowledgments

References

키워드

거푸집 안전관리 인공지능모델 마스크 R-CNN 이미지 분할 Construction Formwork Safety Management Artificial Intelligence Model Mask R-CNN Image Segmentation