WhoRang
AI-powered doorbell intelligence with face recognition and analytics
WhoRang is a self-hosted, AI-powered doorbell intelligence platform that analyzes doorbell camera events to identify visitors, detect scenes, and provide usage analytics. It integrates multiple AI providers, supports local model inference, and provides a mobile-first dashboard with real-time notifications.
Key Features
- Multi-provider AI integration including support for local Ollama models and cloud providers for vision and analysis
- Face recognition and recurring visitor tracking with configurable detection settings
- Real-time WebSocket notifications and live event monitoring
- Mobile-first, responsive dashboard with charts, usage analytics, and exportable reports (CSV/PDF)
- AI usage and cost tracking across providers with provider comparison metrics
- Docker-based deployment with a Node.js/Express backend and a React + Vite frontend
Use Cases
- Home automation: integrate doorbell intelligence into a smart home to trigger automations or alerts
- Security monitoring: analyze visitor patterns, identify repeat visitors, and review event history
- Small business: track customer visits and generate periodic analytics reports
Limitations and Considerations
- Cloud AI providers incur usage costs; local privacy-preserving inference requires setting up a local model host such as Ollama
- The default SQLite database is suitable for single-node or small deployments but may limit scalability for high-volume installations
- Face recognition accuracy and detection reliability depend on camera quality, lighting, and selected AI provider
WhoRang is suited for privacy-conscious users who want local control over doorbell analytics and AI selection. It provides an extensible platform for integrating AI-driven vision into smart-home workflows while exposing trade-offs between convenience, cost, and scalability.
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Express
Docker
TypeScript
React
Node.js
Tailwind CSS