عنوان انگلیسی مقاله:
Civil engineering stability inspection based on computer vision and sensors
ترجمه فارسی عنوان مقاله:
بازرسی پایداری مهندسی عمران بر اساس بینایی ماشین و حسگرها
Sciencedirect - Elsevier - Microprocessors and Microsystems, 82 (2021) 103838: doi:10:1016/j:micpro:2021:103838
A computer that combines the purchase of vision technology and remote cameras and drones offers a promising non-contact solution for the state evaluation of civil infrastructure. This system’s ultimate goal is too automatically and reliably converted to actionable information image or video data. This white paper provides an overview of computer vision technology’s latest development and applies it to the state evaluation of private infrastructure. Deep learning has been applied to various computer vision; deep learning course covers most of the application. Each application has its architecture, such as the input image and labels data loss function. To explain computer vision architecture in the following figure. Review of the work can be divided into two types: application checks and application monitoring. Review inspection applications include context identifiers, local and global features, visible damage, and changes in the reference image. Monitoring applications described herein include static and dynamic strain modal analysis measurement and displacement measurement. Next, several key challenges continue to move towards civilian infrastructure automation and monitoring of vision- based. Finally, aim to address some of the ongoing challenges in our work.
Keywords: Monitoring applications | Computer vision | Accelerometer | Non-destructive evaluation | Conventional-contact displacement sensors