What are the system requirements?
A server, NAS (e.g. Synology), or computer that can run Docker containers. Minimum 2 GB RAM and 2 CPU cores. 4 GB RAM and 4 cores are recommended if you run multiple cameras with face recognition enabled. You also need at least 2 GB of free disk space, plus additional space for snapshots.
What cameras are supported?
Ring and Google Nest cameras with active accounts. Ring requires your account email, password, and 2FA. Nest requires a Google Device Access project (one-time $5 fee paid to Google) with OAuth credentials.
What if Ring or Nest changes their API?
We will make reasonable efforts to update Camera Hound when third-party APIs change. Your license includes free updates. However, we cannot guarantee compatibility if a provider fundamentally changes or discontinues their API.
Is there a refund policy?
Yes. We offer a 14-day money-back guarantee. If Camera Hound doesn't meet your expectations, contact us within 14 days of purchase for a full refund. See our Terms of Service for details.
Does my data leave my network?
No. Camera Hound runs entirely on your hardware. Images, face data, detection events, and reports all stay on your device. The only network traffic is between your server and Ring/Nest APIs (which you configure). No telemetry is sent to us.
How do I get support?
Email us at camhoundsup@gmail.com. We provide email-based support for installation, bugs, and general questions on a best-effort basis.
Can I install Camera Hound on multiple devices?
Each license covers one (1) installation. If you need to run Camera Hound on multiple servers, please purchase additional licenses.
Do I need Ollama or a GPU?
No. Person and pet detection (YOLO) and face recognition (DeepFace) run on CPU and are included in the Docker image. Ollama is optional and only used if you want additional vision-model analysis.