基于ai图像识别的农村公路路面病害智能检测方法研究

Key Points

• The research aims to explore AI image recognition methods for the intelligent detection of rural road surface diseases.
• Analyzed rural road disease types and detection challenges.
• Reviewed mainstream AI image recognition models like CNN, YOLO, and U-Net.
• Constructed a complete intelligent detection system framework covering data collection, preprocessing, training, and deployment.
• AI image recognition significantly improves the efficiency of rural road disease detection.
• The system enhances detection accuracy, providing a promising application and promotional value.