The new AI Mask Prediction function in HTZ introduces a powerful capability to extract and refine cartographic data by leveraging AI-driven algorithms. This feature intelligently processes satellite images, vegetation coverage, and building contours to generate high-quality map datasets. Enhanced map data quality directly improves the accuracy of RF planning, generating improved coverage predictions, interference analysis, and network optimisation. By automating data extraction and refinement, this function reduces manual effort and ensures engineers have the most accurate environmental inputs for network modelling.
