ATDI announces a significant upgrade to AI Mask Prediction, its intelligent tool for refining cartographic data. This new release marks a leap forward in map automation, driven by a state-of-the-art deep learning architecture that delivers over 93% accuracy across continental regions.
AI Mask Prediction now directly detects, from satellite imagery, trees and buildings likely to cause radio signal diffraction, enabling RF planners to build more accurate models from the outset. The enhanced model improves on the original by offering faster and more precise data extraction, thereby boosting the quality of coverage predictions, interference analysis, and network optimisation.
A key benefit is that it runs efficiently on both CPUs and GPUs, making it accessible even with low-spec hardware. Combined with the ability to generate high-resolution maps in-house, this tool helps reduce manual workload and provides precise, current inputs for RF planning and optimisation.
This powerful update is now available in the latest version of HTZ, helping engineers enhance accuracy and model with confidence.
The map image is of Hiroshima, Japan. Score: 0.2 sec per tile (using GPU). Tile = 256x256 pixels
