Design of River Monitoring System Based on Video Recognition and Deep Learning Technologies

In recent years, there have been frequent rains and typhoons in Taiwan. Continuous heavy rains can cause river rushed and soared. In addition, terrain problems have caused floods to occur frequently, which will cause flooding, landslides, destroying many facilities and many casualties. In this paper, we proposed a remote video-based river monitoring system that uses some traditional image recognition techniques to obtain river regions. In addition, we also use a deep learning method to find water level to ultimately assess river conditions. The experimental results show that the recall of the water level marker is 94.5%.