Research Article
Construction Site Inspection System Based on Panoramic Image Cloud Processing Technology
@INPROCEEDINGS{10.1007/978-3-031-50574-4_20, author={Caihui Wu and Xiuyi Wang and Bin Chen and Xiaolu Deng and Minghua Duan}, title={Construction Site Inspection System Based on Panoramic Image Cloud Processing Technology}, proceedings={Multimedia Technology and Enhanced Learning. 5th EAI International Conference, ICMTEL 2023, Leicester, UK, April 28-29, 2023, Proceedings, Part II}, proceedings_a={ICMTEL PART 2}, year={2024}, month={2}, keywords={Construction Site Panoramic Image Cloud Processing Technology Construction Projects Site Patrol Inspection Construction Safety}, doi={10.1007/978-3-031-50574-4_20} }- Caihui Wu
Xiuyi Wang
Bin Chen
Xiaolu Deng
Minghua Duan
Year: 2024
Construction Site Inspection System Based on Panoramic Image Cloud Processing Technology
ICMTEL PART 2
Springer
DOI: 10.1007/978-3-031-50574-4_20
Abstract
With the acceleration of the pace of urban construction, the number and scale of construction projects are gradually expanding, so it is essential to reduce the frequency of accidents at the construction site. Therefore, this study proposes a construction site inspection system based on panoramic image cloud processing technology. First, the panoramic image data of the construction site is collected by the panoramic image technology, and the noise information in the panoramic image is removed after the denoising model is constructed based on the compressed sensing theory. Then, MSR algorithm with adaptive scale is applied to enhance the image information. Finally, select the inspection index of construction site, combine with the impact information processing results, evaluate the safety risk level of construction site, and realize the inspection of construction site. The experimental results show that the maximum SNR of the panoramic image of the construction site obtained by the system is 162 dB, and the inspection results of the construction site are consistent with the actual results, which proves that the inspection effect of the system is better.
