Intelligent Detection of House Cracks in the Vicinity of Construction Vibrations Based on YOLOv5
Construction vibration may cause cracks in adjacent buildings.Traditional crack detection techniques are affected by factors such as on-site environment and crack morphology,which affect detection efficiency.Therefore,intelligent detection technology is applied to crack detection in buildings.The YOLOv5 algorithm is adopted,and a concrete crack dataset containing 3 917 images is constructed.After 1 000 training epochs,the model achieves high precision and recall rates,while the loss function decreases to a small value,indicating the accuracy of the model for crack detection.The trained model is applied to crack detection in 38 houses in practical engineering projects,showing good detection performance.
construction vibrationsYOLOv5intelligent detectionhouse cracks
NETL
NSTL
万方数据
