Atlas Privacy Layer

Project information

Atlas Privacy Layer is an open-source geospatial privacy framework that enables programmable control over how satellite and map imagery is rendered, transformed, and protected at the tile level. It provides a modular pipeline for applying masking, scrambling, synthetic terrain replacement, and AI-assisted object detection to sensitive regions defined by user-controlled geofenced boundaries. Designed for self-hosted deployments under the AGPL-3.0+ license, Atlas acts as a privacy-aware intermediary between raw Earth data and mapping applications, giving developers fine-grained control over what is visible in spatial imagery systems. https://roxanneardary.com/atlas-privacy-layer/

AGPL3 roxanneardary legal open-source privacy map-imagery generative-ai ai-assistant AI self-hosting mapping imagery SDD specification SBL