#189 · Primary category: Computer Vision

CCTV-Smartphone-AI-Monitoring

ai-monitoring computer-vision device-repurposing event-driven image-recognition-tool ip-camera ml-ops monitoring-system multimodal structured-output video-streaming

本地监控 + AI 视觉 — LAN-based smartphone-powered AI monitoring framework with structured event output for data acquisition and analysis.

Project last updated:08/19/26

GitHub Stars

759

Forks

56

Contributors

1

License

MIT

Why we included this project

Old Android phones that would otherwise sit in a drawer can become network camera nodes, streaming to a PC dashboard over your LAN and giving you live preview, local recording, and screenshots from a browser with no cloud involved. The architecture splits mobile capture from PC-side processing, and the AI path runs in two stages: a cheap motion-detection pass decides when to wake a heavier vision model, which then writes structured event records with risk grading. That keeps it useful both as a small home or office monitoring setup and as a testbed for visual data collection and analysis. One thing to plan for: the Android client and the Flask server are separate components that have to be deployed together, and multimodal inference usually expects an online model service.

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