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

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.