Research on application of image recognition technology in water conservancy engineering construction

Image recognition technology is a key driver for the transformation of water conservancy engineering construction toward automation and intelligence. Centered on the need for intelligent enhancement in water conservancy engineering construction, this paper systematically reviews the application patterns of image recognition technology in water conservancy engineering construction from three aspects: intelligent monitoring of the construction process, safety risk warning and identification, and intelligent detection of construction quality. In terms of construction process monitoring, it elaborates on the application of target detection methods based on drone aerial photography and deep learning in construction preparation and progress tracking. Regarding safety risk warning, the paper reviews real-time identification technologies for construction personnel behavior and safety hazards based on the YOLO series of algorithms. In the area of construction quality inspection, methods such as crack recognition and material gradation analysis combining machine vision and semantic segmentation are summarized. Furthermore, the paper looks forward to the integrated application of image recognition technology and path planning algorithms in the autonomous operation of construction machinery such as bulldozers. The reliability of technology integration is crucial for the practical implementation of smart water conservancy construction. Emphasis should be placed on improving algorithm robustness in complex scenarios, integrating multi-source information, and deploying lightweight models to promote the deep integration and practical application of image recognition technology in water conservancy engineering construction.