Insights · DaoAI
Adding AI to Existing Surveillance Systems
Traditional video surveillance excels at recording footage but struggles with interpreting behavior, detecting operational risks, and adapting to real-world changes.
Traditional video surveillance excels at recording footage but struggles with interpreting behavior, detecting operational risks, and adapting to real-world changes.
SkyVision is an AI-powered surveillance platform designed for existing surveillance providers, enabling them to add AI capabilities without rebuilding camera systems, VMS, or infrastructure.
It supports localized AI training, flexible workflow configuration, and continuous model improvement—transforming standard surveillance into a scalable visual intelligence platform.
Target Audience
- Surveillance system integrators (SI)
- CCTV / VMS solution providers
- Industrial surveillance equipment suppliers
- Traffic and infrastructure surveillance operators
- Enterprises using traditional video surveillance without AI
Limitations of Traditional Video Surveillance
Issue 1
Most traditional surveillance systems are designed to:
- Capture video
- Store recordings
- Support playback and review
They cannot:
- Understand behavior
- Verify SOP compliance
- Adjust detection logic based on site-specific operations
Issue 2
Fixed AI algorithms lack scalability. Many vendors attempt to augment AI via:
- AI boxes
- Pre-built detection models
- Fixed-function analytics (PPE, intrusion, line crossing)
These methods introduce new problems:
- New models are required for each scenario
- Accuracy degrades in real-world environments
- False positives increase over time
- Any change requires vendor or AI engineer intervention
AI becomes rigid, expensive, and difficult to maintain.
Shift: Modern Surveillance Customer Expectations
Today's customers expect systems to:
- Adapt to varying sites and environments
- Learn from operational data
- Support new detection scenarios without redevelopment
- Operate securely on-premises
This requires a platform, not a collection of AI features.
What is SkyVision?
SkyVision is an AI intelligent surveillance platform that overlays existing camera and VMS infrastructure.
It transforms traditional surveillance into visual intelligence without replacing existing, functional systems.
How SkyVision Works
1. Train AI with Your Own Video Data
SkyVision allows users to:
- Upload their own footage
- Annotate key objects, behaviors, or conditions
- Train AI models directly on-site
2. Configure Detection Logic via Flexible Workflows
SkyVision uses workflow-based logic, not hardcoded algorithms:
- Select AI models (detection, segmentation, classification, OCR, keypoint)
- Define regions, conditions, and triggers
- Set alert rules and integrations
No coding required.
3. Continuous Improvement via Feedback
When users confirm:
- True alerts
- Or false positives
The system learns.
Over time, this achieves:
- Reduced false positive rates
- Improved Accuracy
- Better Adaptation to Real-World Environments
AI Continuously Improves, It Is Not Static.
4. Full On-Premise Deployment Ensures Data Security
SkyVision Supports:
- On-Premise AI Training
- On-Premise Inference
- On-Premise Data Storage
Video Data Never Leaves the Customer Site, Meeting Enterprise Security, Compliance, and Regulatory Requirements.
What Monitoring Service Providers Can Achieve with SkyVision
By Adding SkyVision, Monitoring Companies Can Offer:
- SOP Compliance Monitoring
- Employee Behavior Analysis
- Safety and Risk Detection
- Traffic and Infrastructure Intelligence
- Automated Event Tracing
All Using the Same Camera Infrastructure.
Core Advantages for Monitoring Companies
✔ No System Replacement Needed
Integrates with Existing RTSP Cameras and VMS Configurations.
✔ No AI Engineer Needed
Users control models and workflows.
✔ Scalable AI Capabilities
Add new inspection scenarios without new algorithms.
✔ Enterprise-Grade Security
Designed for on-premise deployment.
Upgrade Your Monitoring System with AI
Learn how DaoAI World Sky Vision transforms existing cameras into smart sensors.