Method and system for intelligently detecting wave height and wind speed from coastal sea wave monitoring video
A technology for surveillance video and intelligent detection, applied in the marine field, can solve problems such as low computing efficiency, poor robustness, and wind speed detection
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Embodiment 1
[0039] like figure 1 As shown, this embodiment proposes a method for intelligently detecting wave height and wind speed from near-shore wave monitoring video, which is implemented by using a deep neural network to simulate the principle of artificially estimating wave height and wind speed. The deep neural network model only needs to input short video data to detect the wave height and wind speed information with high accuracy. Specifically include:
[0040] S100 , acquiring raw coastal wave monitoring video and hydrology-meteorological synchronous observation data, and establishing a training set.
[0041] Obtain video surveillance and hydrology-meteorological synchronous observation data: According to the ergodic conditions of waves, select the sea area with video surveillance and hydrology-meteorological synchronous observation conditions as the experimental site. Accumulate long enough video and observation data, especially to strengthen the monitoring and observation of...
Embodiment 2
[0076] Corresponding to the above-mentioned Embodiment 1, this embodiment proposes a system for intelligently detecting wave height and wind speed from offshore wave monitoring video, and the system includes:
[0077] The data acquisition module is used to obtain the original coastal wave monitoring video and hydrology-meteorological synchronous observation data, and establish a training set;
[0078] A model training module is used to train a pre-built deep neural network model using the training set, wherein the wave monitoring video data is used to generate the input data of the neural network model, and the wave height and The wind speed is used as the output of the neural network model;
[0079] The model testing module is used to test the trained deep neural network model.
[0080] Further, the data acquisition module specifically includes:
[0081] The video monitoring module includes a video capture device, a communication network and a main control server, the video...
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