Splashing early warning system based on image recognition

The invention discloses a splashing early warning system based on image recognition. The system comprises an image acquisition module which is arranged at an operation site of smelting equipment and is used for shooting a video of the operation site and extracting an operation site image; a data transmission module which is connected with the image acquisition module; a data storage module which is used for storing early splashing scene images and training a convolutional neural network; a data processing module which is respectively connected with the data transmission module and the data storage module, and is used for analyzing the images of the operation site by utilizing a convolutional neural network to obtain the probability of occurrence of the splashing accident, and generating alarm starting information under the condition that the probability is greater than or equal to a first threshold value; and an alarm module which is used for receiving the alarm starting information sent by the data processin