Video Intelligence Framework
The Intelligence
Layer for Live Video
Works with your existing cameras and infrastructure – even fully air-gapped.
200,000+
Live instances
99.99%
Uptime
~35,000
Mission-critical networks
SOC 2
Type II, air-gapped
Make Video
Streams Smarter
VIF runs where your streams already are. In-stream inference. Results route to your systems.
Use the cameras and streams you already have. RTMP, RTSP, SRT, WebRTC, IP cameras, drones, body cams, encoders – no rip-and-replace.
Run built-in or custom AI models directly inside Wowza Streaming Engine. Swap models anytime without changing your infrastructure.
Send results to the systems you already use through webhooks, APIs, overlays, logs, and Java.
From Live Video to
Operational Intelligence
See how VIF transforms existing video streams into actionable outcomes that reduce costs, accelerate response, and simplify compliance.
Unlock The Value of
Every Video Stream
Act in the moment
- Detection to action in seconds, automatically
- New capability for streams / cameras you already use
- Catch the incident, the opportunity, the moment in time
Do more with what you have
- Every feed watched – no new headcount
- Your existing cameras – no rip-and-replace
- Make the most of your existing AI investments by connecting your supported pre-trained models
Run AI securely, anywhere
- Edge, on-prem, any cloud – even fully air-gapped
- Raw content never leaves your environment
- Meet compliance standards by running AI where it needs to run
Run AI where your video already lives
Deploy video intelligence on-premises, at the edge, in hybrid environments, in the cloud, or on fully air-gapped networks. Add AI to existing video infrastructure without redesigning your architecture.
- Deploy on existing Wowza Streaming Engine infrastructure
- Support for on-premises, cloud, edge, hybrid, and air-gapped environments
- Optimized for NVIDIA GPU acceleration
- Compatible with standard streaming protocols and video sources
Maintain privacy, compliance, and control
Process video where it is generated. Raw video stays inside your environment while intelligence, alerts, and metadata flow to the systems that drive operations.
- Raw video remains on-site
- Supports data sovereignty and privacy requirements
- Encryption in transit and at rest
- Designed for regulated and air-gapped environments
Use your own supported models
Start with built-in computer vision models or deploy your own. Upgrade, fine-tune, and swap models without rebuilding your streaming infrastructure.
- Built-in object detection and scene understanding models
- Support for custom and ONNX-compatible models
- Fine-tune models for specific operational requirements
- Avoid vendor lock-in and proprietary AI ecosystems
Control AI spend as video scales
Avoid per-frame pricing, cloud egress fees, and unpredictable inference costs. Run AI where it makes the most economic sense while maintaining performance and accuracy.
- Run inference locally on your infrastructure
- Avoid cloud egress and per-frame processing fees
- Control sampling rates and resource consumption
- Scale video intelligence without runaway cloud costs
Turn video intelligence into action
Send detections, events, and metadata directly into the systems your teams already use, from security operations and dispatch centers to automation platforms and dashboards.
- Integrate with VMS, SIEM, dispatch, and monitoring systems
- Deliver alerts through APIs and webhooks
- Export structured metadata and event data
- Feed dashboards, workflows, and automation platforms
Powering Video Infrastructure at Scale
From statewide traffic networks to mission-critical operations, teams rely on Wowza to deliver video at scale.
“With Wowza, servers became appliances. We script, provision, move, and rebuild cameras through the API, keep our video walls fed, and let operators focus on incidents instead of plumbing.”
Ready to see VIF in your environment?
See how VIF runs inside Wowza Streaming Engine using your infrastructure, your models, and your deployment requirements.
Connect with an Expert