Concrete apparent defect detection and management method based on deep learning and augmented reality

The invention discloses a concrete defect detection and management method based on deep learning and augmented reality, and the method comprises the steps: model training: training a concrete apparent defect classification model based on deep learning; the image acquisition and image preprocessing module is used for collecting concrete image data of an engineering field and cutting, zooming and normalizing the acquired image; and the apparent defect detection and classification module is used for detecting the collected concrete image by applying the trained concrete defect classification model and accurately judging the type of the concrete quality problem. The augmented reality feedback module enables a user to more intuitively perceive the condition of the concrete quality problem; and the quality information management module is used for recording and managing the detection result. According to the system, deep learning and augmented reality technologies are creatively integrated, field personnel are help