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Architecture

AI Video Analytics · Platform Architecture

Every camera feed, one pipeline.
From pixels to decisions, in real time.

The Scanalitix architecture takes a raw RTSP stream and turns it into a validated, escalated, closed-out incident — without a person watching every screen. Ingest, edge inference, rules, alerts, and storage all run as one synchronized system.

8 processing layers

104 configurable rules

Offline-capable edge

Multi-channel alerting

How It Works

From the moment a camera sees something, to a resolved and reported incident.

1. Detect

AI-powered analytics monitor every stream continuously, identifying threats, anomalies, and operational events before they escalate.

2. Monitor

Centralized teams receive prioritized alerts through intelligent queues, AI tagging, and multi-level validation workflows.

3. Respond

Incidents are auto-routed through predefined, SLA-driven escalation — ensuring the right person acts at the right time.

4. Execute

Field teams receive assignments, perform corrective actions, and verify closure through geo-tagged, timestamped service records.

5. Report

Dashboards and reports deliver visibility into performance, SLA compliance, alert trends, and operational health — across every site.

Why This Architecture

Built to hold up under real sites, real network conditions, and real alert volume.
Real-time, edge-first processing
Multi-model accuracy, fewer false alerts
Keeps running through network outages
104 rules, tuned to your site
104 rules, tuned to your site
Alerts on the channel your team actually uses
Scalable storage, searchable history
From Detection to Action

It gets the right people moving.

A smarter operation doesn’t stop at identifying a problem.
Detect Faster. Dispatch Smarter. Resolve Better.
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Next-generation computer vision and security automation. Real-time edge intelligence built for modern high-security enterprise environments worldwide.

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