How Traditional Surveillance Companies Can Add AI without Replacing Their Existing Systems

Traditional video surveillance systems are excellent at recording footage, but they struggle to interpret behavior, detect operational risks, and adapt to real-world changes.

SkyVision is an AI video surveillance platform designed specifically for existing surveillance providers who want to add AI capabilities without rebuilding their camera systems, VMS, or infrastructure.

It enables on-prem AI training, flexible workflow configuration, and continuous model improvement—turning standard surveillance into scalable visual intelligence.

Who Is This For?

• Surveillance system integrators (SI)
• CCTV / VMS solution providers
• Industrial monitoring vendors
• Transportation & infrastructure surveillance operators
• Enterprises using traditional video surveillance without AI

Why Traditional Video Surveillance Is No Longer Enough

Problem 1: 

Most traditional surveillance systems are built to:

• Capture video
• Store footage
• Support playback and review

They do not:

• Understand behavior
• Verify SOP compliance
• Adapt detection logic to site-specific operations

Problem 2: 

Fixed AI Algorithms don’t Scale, many providers attempt to add AI using:

• AI boxes
• Pre-built detection models
• Fixed-function analytics (PPE, intrusion, line crossing)

These approaches create new problems:

• Each scenario requires a new model
• Accuracy drops in real environments
• False alarms increase over time
• Any change requires vendor or AI engineers

AI becomes rigid, expensive, and hard to maintain.

The Shift: What Modern Surveillance Customers Expect

Today’s customers want systems that can:

• Adapt to different sites and environments
• Learn from real operational data
• Support new detection scenarios without re-development
• Run securely on-premise

This requires a platform, not a collection of AI features.

What Is SkyVision?

SkyVision is an AI video surveillance platform that sits on top of existing camera and VMS infrastructures.

It transforms traditional surveillance into visual intelligence—without replacing what already works.

How SkyVision Works

1. Train AI Using Your Own Video Data

SkyVision allows users to:

• Upload their own footage
• Label key objects, behaviors, or conditions
• Train AI models directly on-site

No external data.
No cloud dependency.
No AI team required.

2. Configure Detection Logic with Flexible Workflows

Instead of hard-coded algorithms, SkyVision uses workflow-based logic:

• Select AI models (detection, segmentation, classification, OCR, keypoints)
• Define regions, conditions, and triggers
• Set alert rules and integrations

All without writing code.

3. Continuous Improvement Through Feedback

When users confirm:

• A true alert
• Or a false alarm

The system learns.

Over time, this results in:

• Lower false alarm rates
• Higher accuracy
• Better adaptation to real environments

AI improves continuously, not statically.

4. Fully On-Prem Deployment for Data Security

SkyVision supports:

• Local AI training
• Local inference
• Local data storage

Video data never leaves the customer’s site, meeting enterprise security, compliance, and regulatory requirements.

What Surveillance Providers Can Achieve with SkyVision

By adding SkyVision, surveillance companies can offer:

• SOP compliance monitoring
• Worker behavior analysis
• Safety and risk detection
• Traffic and infrastructure intelligence
• Automated incident traceability

All using the same camera infrastructure.

Key Benefits for Surveillance Companies

✔ No System Replacement

Integrates with existing RTSP cameras and VMS setups.

✔ No AI Engineering Dependency

edUsers control models and workflows themselves.

✔ Scalable AI Capabilities

Add new detection scenarios without buying new algorithms.

✔ Enterprise-Grade Security

On-prem deployment by design.