The image recognition water level monitoring system is based on the core concept of Internet+, with artificial intelligence as the core technology. It exploits and optimizes existing video image monitoring station resources, expands the functions of video image stations, and builds an image recognition water level monitoring system without affecting the operation of the original video surveillance system. It increases the coverage and density of water level monitoring and enriches water level monitoring information. The mutual information verification of images and data ensures the accuracy of data from traditional monitoring methods. Deep mining of existing video image station resources avoids duplicate construction.

The image recognition-based water level monitoring system further supports machine learning, including artificial intelligence technologies such as support vector machines and neural networks. The system can independently select the currently optimal algorithm based on the environment, further improving the accuracy of water level recognition.