Abnormal material loading on the vibrating screen is a common issue in industrial production, with repercussions that extend beyond production efficiency to include potential safety hazards. Therefore, monitoring material status on the screen in real-time and with precision holds immense importance. However, the traditional monitoring method primarily relies on manual on-site observation, which is labor-intensive, slow, fraught with significant safety risks, and often inadequate for identifying minor equipment faults. This approach falls short of the demands for material status monitoring on the screen. This paper introduces a dynamic material status monitoring method for vibrating screens that utilizes a Time-of-Flight (TOF) camera. This method combines a point cloud data completion approach with a KD tree within the frame difference method, alongside a dynamic monitoring technique based on surface reconstruction. These methodologies enable the real-time monitoring of material status on the screen. The point cloud data completion method, coupled with the KD tree within the frame difference process, effectively addresses the challenge of missing point cloud data caused by moisture on the material's surface and gaps between materials during TOF camera capture. Through the analysis of the reconstructed point cloud surface of the completed screen materials, it becomes possible to determine the status of four material conditions on the screen: underload, overload, left bias load, and right bias load, thus enabling real-time material detection on the screen. This study acquires material state information on the screen directly via the TOF camera, reducing the need for manual intervention and providing real-time performance. Consequently, it offers a highly efficient and dependable solution for real-time monitoring of material conditions on the screen.