background:
real time water level monitoring system. The image recognition system is divided by the image. in addition, Image feature extraction. Recognition of the classifier. These three parts are composed. Among them, image segmentation. in addition, The main role is to transfer the image. Divided into multiple areas. Image feature extraction is an image of multiple regions. Perform corresponding feature extraction. The recognition of the classifier is based on image features. in addition, The extracted result. Carry out the appropriate classification. Intelligent water level image recognition system. Based on intelligent camera. Using machine learning. and image processing recognition technology. Provide monitoring services for the water level of lakes, in addition, rivers, and urban storms. Intelligent water level image recognition system. Mainly use timed snapshots. Two forms: and autonomously capturing images. Regularly or according to business needs. Upload water gauge pictures and videos.
significance:
Through the construction of an intelligent water level image recognition system. Break the bottleneck of traditional water level measurement methods. Use computer image processing to identify. Deep learning model technology is automatically processed. A large number of video and image files. Realize intelligent recognition and analysis of water level. So as to effectively provide automatic monitoring. Threshold setting. real time water level monitoring system. Automatic judgment. Services such as intelligent alarm and remote monitoring.
Ensure the intuitiveness of the water level measurement data results. Verifiability and traceability of the data analysis process. Application case analysis. Use a hydrological station. Conduct water level data comparison and analysis. According to the comparison results. Intelligent water level image recognition system. The water level recognition accuracy rate is high. in addition, For water and rain information monitoring. in addition,Flood disaster. Provide data support for prevention. and decision-making. With the intelligent. in addition, water level image recognition system. Application in the fields of hydrology. and water conservancy. The function of the system is constantly improving. In addition, to monitoring functions. Also has to meet the flood season operation. in addition, Free during non-flood season. Time call test, supplementary data delivery. Features such as remote wake-up. Monitor the local water level. Flood prevention and disaster reduction work. The orderly progress of the project is of great significance.