Readable activity summaries
Get short descriptions of camera events so you can understand the activity before reviewing the associated images.
RTVCP Sparrow / Your hardware
SPARROW
SELF-HOSTED
Turn your compatible Windows PC into an AI camera analysis system. Connect your RTSP cameras, analyze activity on your own hardware, and review what happened through the Sparrow portal.
Inside Sparrow Self-Hosted
Your camera activity, in view.
Explore the Sparrow desktop interface. Select either screenshot to view it at full size.
Understand camera activity
More context. Less manual review.
Sparrow analyzes motion- or activity-triggered events and produces concise descriptions to help you decide what needs a closer look.
Attention where it matters
Use AI-generated alert flags to help identify suspicious or unusual activity for human review.
Automated email alerts
Configure email notifications for alerts so you can stay informed without watching the portal continuously.
AI descriptions and alert flags can be inaccurate. Verify significant events against the camera evidence before taking action.
Built around your installation
Run Sparrow
where your cameras are.
Self-Hosted puts the analysis workload on your own computer. Choose hardware and storage to match your camera activity, then manage the installation as part of your environment.
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Use your compatible PCDeploy on an existing suitable Windows computer or provision a dedicated host for Sparrow.
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Process events locallyCamera analysis runs on the Self-Hosted machine. Internet access is required for downloads and licensing; configured email notifications also require network access.
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Work with compatible RTSP streamsDiscover and review camera or recorder endpoints with RTVCP Deploy. Compatibility depends on stream settings, credentials, and network access.
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Plan capacity around your workloadSize GPU memory, system RAM, and event storage for your streams, analysis frequency, and retention needs.
Getting started
From download
to your first cameras.
Start with RTVCP Deploy and follow the discovery, licensing, and installation workflow.
View system requirements- 01
Prepare your hostCheck Windows compatibility, NVIDIA GPU, memory, storage, and camera network connectivity.
- 02
Discover and select streamsRun RTVCP Deploy, provide camera credentials, and review the streams you want to use.
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Purchase or redeem a licenseComplete the licensing workflow for your installation.
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Install and review activityComplete setup, open the Sparrow portal, and verify your cameras and event analysis.
Before you deploy
Self-Hosted questions
What hardware do I need?
A compatible Windows x64 PC with an NVIDIA GPU, sufficient dedicated VRAM, system memory, and SSD storage. See the current system requirements and contact us for workload-specific sizing.
Can I connect cameras through my recorder?
If your recorder exposes compatible RTSP streams and the host can access them, you can review those streams during discovery. Each recorder’s channel paths and authentication settings may differ.
How many cameras can I analyze?
Capacity depends on hardware, stream resolution, event frequency, and model settings. Camera count alone does not determine the analysis workload. Share your intended setup with us for sizing assistance.
Does Self-Hosted replace my existing recorder?
Sparrow adds an AI event-analysis workflow. Keep your existing recording system when you need continuous video recording and its associated retention features.
Where can I get installation help?
Visit troubleshooting for operating system, architecture, memory, storage, GPU, local port, and Windows service checks. You can also contact RTVCP support.
Bring Sparrow to your hardware.
Start with your cameras and build a Self-Hosted installation around your needs.
Questions? info@rtvcp.com