AI Mask Prediction: Enhancing Map Data for RF Planning

January 30, 2025
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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.

Fig. 1 Background Image
Fig. 2 AI Prediction confirguration
Fig. 3 End Result. Clutter layer. Green = vegetation. Red = Buildings

 

 

 

 

 

 

 

This functionality will be available soon to all customers with a valid Maintenance Contract. Stay tuned for its release.

 

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