845a85d618386f51cbffb8116957246ebc278efa
Phase 1 (Foundation): project skeleton, TOML config + Pydantic validation, MQTT bus wrapper, SQLite schema (9 tables), Click CLI, process supervisor. Phase 2 (Camera): RTSP capture via OpenCV, MOG2 motion detection with configurable sensitivity/zones, adaptive FPS recording (2fps idle/30fps motion) via FFmpeg subprocess, HLS live streaming, pre-motion ring buffer. Phase 3 (Web UI): Flask + Bootstrap 5 dark theme, 6 blueprints, Jinja2 templates (dashboard, kiosk 2x2 grid, events, sensors, recordings, settings), PWA with service worker + Web Push, full admin settings UI with config persistence. Remote Access: WireGuard tunnel configs, nginx reverse proxy with HLS caching + rate limiting, bandwidth-optimized remote HLS stream (426x240 @ 500kbps), DO droplet setup script, certbot TLS. 29 tests passing. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Description
Local AI-model assisted home security and surveillance system for those that don't trust that data to the cloud.
Languages
Python
63.7%
HTML
21.6%
Shell
8.2%
JavaScript
5.5%
CSS
1%