Intelligent Deployment Solution for Tabling Adapting Deep Learning

The deep learning object detection model can well extract the coordinate information of separating point concentrate ore belt boundary line. However, with drawbacks acquired zonal image features, it is difficult to obtain perfect prediction grade and recovery rate. In this study, by adapting semantic segmentation technique DeepLab V3+, which effectively multi-dimensional features. mapping relationship between features attributes Tabling equipment achieved constructing a multi-output support vector regression optimized sparrow search algorithm (SSA-MSVR). beneficiation indicators operating parameters be continually detected an intelligent system that mainly includes recognition softwares, automatic control units, data processing communication workstations, matching equipment, accomplished deployment solution process.