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Meet Your Advance Security Force

AI Vision Agents that work 24/7, never take breaks, and get smarter every day

What Are Vision Agents?

The Evolution of Surveillance

Traditional surveillance systems are passive they record everything but understand nothing. And the results:

Expensive: Requires large security teams

Inefficient: 95% of footage is never reviewed

Reactive: Problems are discovered after the fact

Prone to error: Humans miss details when tired or distracted

​

AiChecked Vision Agents are intelligent software systems that transform passive cameras into active security team members. They:

Watch everything, all the time: Analyze every frame from every camera simultaneously

Understand context: Know the difference between normal and abnormal behavior

Learn your environment: Adapt to your specific patterns and needs

Take action: Alert the right people with relevant evidence instantly

Never fatigue: Maintain perfect vigilance 24/7/365*

Cloud Deployment

Server Room

  • Instant setup, no hardware required

  • Access from anywhere

  • Automatic updates

  • Scalable on-demand

  • Best for: Multi-location, remote access needs

Hybrid Deployment

Monitoring Room

  • Critical processing on-prem

  • Cloud backup and analytics

  • Flexible workload distribution

  • Best for: Large enterprises with mixed requirements

On-Premises Deployment

Gaming Accessories

  • Complete data control

  • Local processing

  • Air-gapped option

  • Custom hardware configurations

  • Best for: High-security, compliance-restricted environments

How Vision Agents Work

Step 1: See

High-performance cameras (yours or ours) capture video streams and send them to our processing platform

Step 3: Understand

Vision Agents don't just detect—they understand context:

  • Is this person supposed to be here?

  • Is this normal behavior for this time of day?

  • Does this pattern indicate a potential threat?

  • Should this trigger an alert or is it routine?

Step 5: Learn

With every event:

  • Agents refine their understanding of "normal"

  • False positives decrease over time

  • Detection accuracy improves

  • Custom patterns are recognized

  • Your system gets smarter

Step 2: Analyze

NVIDIA GPU-powered AI models analyze every frame in real-time, identifying:

  • Objects (people, vehicles, items)

  • Actions (walking, running, gathering)

  • Behaviors (loitering, unusual routes)

  • Anomalies (unexpected events)

  • Compliance issues (safety violations)

Step 4: Act

When something important happens:

  • Evidence is automatically captured

  • Relevant personnel are notified

  • Alert priority is assigned based on severity

  • Response workflows are triggered

  • All data is logged for compliance

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