How to Implement AI-Powered CCTV Analytics

Transform your existing surveillance into intelligent business automation in 8 proven steps

4 hours setup time
No camera replacement
Edge processing

Before You Begin

What You'll Need

  • IP-based CCTV cameras (minimum 1080p resolution)
  • Network access to camera streams (RTSP/ONVIF)
  • Sufficient network bandwidth (10Mbps per camera)
  • ERP system with API access (optional)
  • Administrator access to network configuration

Expected Outcomes

  • Real-time automated reporting to ERP
  • Custom alerts for business events
  • 99%+ event detection accuracy
  • Elimination of manual monitoring
  • Historical analytics and insights

Implementation Steps

1

Assess Your Current Infrastructure

Begin by evaluating your existing CCTV system to ensure compatibility and identify requirements.

Checklist:

  • □Count total number of cameras to be integrated
  • □Verify cameras support IP streaming (RTSP/ONVIF)
  • □Test network bandwidth between cameras and edge device location
  • □Document camera credentials and network addresses
  • □Identify ERP system and available integration methods

Pro tip: Use our free assessment tool to automatically scan your network and identify compatible cameras.

2

Choose Your Hardware Configuration

Select the appropriate VultureLabs edge device based on your camera count and processing requirements.

Edge Mini

  • • 1-4 cameras
  • • Small retail/office
  • • Basic analytics

Edge Pro

  • • 5-16 cameras
  • • Manufacturing floor
  • • Advanced analytics
Use our configurator to find the right solution
3

Install and Connect Edge Device

Physical installation and network configuration of your VultureLabs edge device.

Installation Steps:

  1. 1. Physical Setup:
    • • Mount device in secure, ventilated location
    • • Connect power and network cables
    • • Ensure stable power supply (UPS recommended)
  2. 2. Network Configuration:
    • • Connect to same network as cameras
    • • Configure static IP or DHCP reservation
    • • Open required ports (443, 8080)
  3. 3. Initial Setup:
    • • Access web interface via browser
    • • Complete setup wizard
    • • Activate license key
4

Configure AI Models

Select and configure AI models specific to your business needs.

Manufacturing Models

  • • Production line monitoring
  • • Quality inspection
  • • Safety compliance
  • • Equipment status

Retail Models

  • • Customer counting
  • • Queue management
  • • Theft detection
  • • Heat mapping
5

Set Up Custom Alerts

Define business rules and conditions that trigger automated alerts.

Example Alert Configurations:

Safety Alert:

IF person detected in restricted area THEN send SMS to safety manager

Inventory Alert:

IF stock level below 20% THEN create purchase order in ERP

Quality Alert:

IF defect rate higher than 2% THEN stop line and notify QA

6

Integrate with ERP System

Connect VultureLabs to your ERP for automated data synchronization.

Integration Methods:

REST API:

Real-time data push to your ERP endpoints

Webhooks:

Event-driven updates for immediate action

Database:

Direct database integration for legacy systems

File Export:

Scheduled CSV/XML exports for batch processing

7

Configure Automated Reports

Set up report templates and delivery schedules for stakeholders.

Daily Reports

  • • Production efficiency
  • • Safety incidents
  • • Quality metrics

Weekly Reports

  • • Trend analysis
  • • Performance comparison
  • • Optimization opportunities
✓

Test and Optimize

Validate system accuracy and fine-tune for optimal performance.

Testing Checklist:

  • Verify all cameras are streaming correctly
  • Test each alert condition with real scenarios
  • Validate ERP data synchronization
  • Review report accuracy and formatting
  • Train staff on system usage

Common Issues and Solutions

Cameras not detected by edge device
  • • Verify cameras and edge device are on same network subnet
  • • Check firewall rules allow RTSP traffic (port 554)
  • • Confirm camera credentials are correct
  • • Enable ONVIF discovery on cameras
Poor detection accuracy
  • • Ensure camera resolution is at least 1080p
  • • Check lighting conditions and adjust if needed
  • • Clean camera lenses
  • • Fine-tune AI model sensitivity settings
ERP integration not working
  • • Verify API credentials and endpoints
  • • Check network connectivity between systems
  • • Review API rate limits
  • • Validate data field mapping

Need Help With Implementation?

Our team can guide you through the entire process or handle the implementation for you

Get Implementation SupportView Technical Documentation