Adding Reka Vision Without Replacing VMS: What Actually Works

You've read about Reka Vision cutting case resolution time by 65%, reducing false alarms by 95%, letting investigators search footage with natural language instead of scrubbing timelines for hours. The questions now are when do you deploy it, and how does this fit into the infrastructure we already have?

Most organizations have spent years building their video management systems. Camera networks are in place. Storage is configured. Security operations workflows are documented. Starting over isn't an option. 

The good news: you don't have to.

Reka Vision — Your Intelligence Layer

Your VMS does what it was designed to do: record video, store it securely, and make it retrievable when your team needs it. Your intelligence layer should sit alongside your VMS, and read from it via API. Your VMS keeps handling storage and recording. Reka Vision does just that, adding the following capabilities:

• Event understanding - Not just detecting objects, but recognizing what's happening. A car idling in a restricted zone for 30 minutes. A person loitering versus a person waiting for a ride. Unauthorized access versus an employee entering after hours.

• Natural language search. Asking exactly how you would on a search engine "show me everyone who entered the north entrance after 6pm" instead of scrubbing through hours of footage across dozens of cameras.

• Persistent indexing. Process the video once. Ask unlimited questions without reprocessing. The system remembers what it sees.

• Contextual alerts. Flag what matters. Filter out what doesn't. Up to 95% fewer false alarms in production deployments.

Nothing about your existing setup changes. No cameras get reconfigured. No storage workflows disrupted. Your operators will still use the VMS interface that they have been familiar with for live monitoring. Reka Vision, just adds a new layer—searchable footage, filtered alerts, automatic incident summaries—that integrates with the tools you already use.

Four Decisions You Will Make

Whether you're a municipal police department, a critical infrastructure operator, or an enterprise security team, your deployment path comes down to decisions to these four questions.

1. Where does the intelligence run?

Deployment is a governance decision. Depending on your data privacy requirements, the reasoning engine can reside in:

• Cloud. Fastest to deploy. Easiest to scale. Works when video data can leave your network.

• On-premise. Video never leaves your infrastructure. You control the hardware, the network, the data. Required for government, defense, regulated industries.

• VPC (Virtual Private Cloud). Dedicated cloud infrastructure that keeps your data isolated. Cloud scalability with stronger governance.

• Air-gapped. Complete network isolation. All processing happens within your secure perimeter. Zero external connectivity.

Another question to help you better decide, would be "Can surveillance video be processed outside our network?" The answer determines your path.

2. How do we start?

Frontier intelligence scales linearly. Success begins with a high-value subset: the 20% of cameras that cover 80% of your security surface area — one precinct, one facility entrance, one critical zone. This allows for a measurable proof of value in a constrained scope, before horizontal expansion. 

This keeps risk low, budgets predictable, and stakeholder buy-in manageable. Reka Vision scales with camera count."

3. How does it integrate with operator workflows?

Your security team, or operations should not have to learn a new VMS.

For live monitoring: Operators keep using the VMS interface they know. Cameras, live feeds, recording controls, nothing changes.

For investigations: Instead of scrubbing footage manually, investigators search with natural language. The intelligence layer surfaces clips, timestamps, and context. Then links back to the VMS for full video retrieval.

For alerts: Contextual alerts route through your existing systems be it email, Slack, or whatever tools you use today. The intelligence layer generates the alert. Your existing tools handle delivery and escalation.

The integration preserves muscle memory. Teams keep using what they know. They just get faster answers.

4. What does success look like?

Reka’s deployments focus on two core ROI drivers — Operational velocity (think: time saved per investigation), and Signal-to-noise ratio (think: reduction in non-actional alerts) 

Physical AI in Production

The Orange Village Police Department in Ohio deployed Reka Vision on top of their existing VMS and camera infrastructure.

Results:

Investigators now search across locations and time using natural language. Relevant moments surface automatically. An officer put it this way: "I have been looking for a solution like this for years."

Platform providers are building on this architecture too. Turing Video developed Guardian AI, an agentic surveillance system powered by Reka Vision, enabling their law enforcement customers to search for complex scenarios like "find the Tesla SUV from California with a bumper sticker" or "show me people fighting in the hallway."

Getting Started

Try it yourself. Test Reka Vision in the playground with your own footage. Upload video, run natural language queries, see if the accuracy and speed match what you need. No sales conversation required.

Talk to our team. If you're ready to scope a pilot or discuss deployment options for your infrastructure, request a demo. We'll walk through integration architecture, deployment modes, and what a phased rollout looks like in your environment.

The path to frontier intelligence like Reka Vision isn’t an overhaul. It's adding intelligence to what's already working.