Acknowledgement
본 논문은 국토교통부 디지털 기반 건축시공 및 안전감리 기술개발 사업의 연구비지원 (RS-2022-00143493, 과제번호: 1615012983)에 의해 수행되었습니다.
Proceedings of the Korean Institute of Building Construction Conference (한국건축시공학회:학술대회논문집)
- 2023.05a
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- Pages.251-252
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- 2023
Restoring CCTV Data and Improving Object Detection Performance in Construction Sites by Super Resolution Based on Deep Learning
Super Resolution을 통한 건설현장 CCTV 고해상도 복원 및 Object Detection 성능 향상
Abstract
As technology improves with the 4th industrial revolution, smart construction is becoming a key part of safety management in the architecture and civil engineering. By using object detection technology with CCTV data, construction sites can be managed efficiently. In this study, super resolution technology based on deep learning is proposed to improve the accuracy of object detection in construction sites. As the resolution of a train set data and test set data get higher, the accuracy of object detection model gets better. Therefore, according to the scale of construction sites, different object detection models can be considered.
Keywords