Molten Metal Hazards Monitoring and Early Warning System Based on Convolutional Neural Network

In order to ensure the safety of molten metal operation and improve the efficiency of monitoring and early warning, molten metal hazards monitoring and early warning system is proposed based on convolutional neural network algorithm. The system utilizes image recognition technology such as behavior analysis, object detection and scene recognition. It consists of five functional modules: real-time monitoring, safety inspection, safety early warning, emergency rescue and information management. Equipped with AR helmet, the system demonstrates a wide potential for application in the field of safety management.