Key Features

Real-Time Video Quality Monitoring

Captures mirrored packets between cameras and NVRs to measure loss, jitter and bitrate, alerting operators the moment live feeds degrade.

Packet-Based Root Cause Analytics

Correlates network, server and application metrics across CCTV, storage and monitoring PCs to isolate failure points without site visits or log digging.

Risk Entropy Prediction Engine

Proprietary algorithm detects subtle statistical anomalies and flags intermittent faults several minutes before service impact, enabling proactive dispatch and downtime reduction.

CCTV Access Security Monitoring

Flags unauthorized camera or NVR logins, records user IDs, and feeds a security-index dashboard to boost public-safety compliance scores.

Custom Integrated Dashboards

Combine multi-network views, entropy alerts and GIS CCTV maps into role-specific screens that cut investigation time dramatically.

How It Works

AUNES receives mirrored traffic only, so no agent touches production cameras. It analyses each hop—CCTV ↔ NVR ↔ Monitoring PC—to visualise quality, pinpoint delays and trigger entropy-based risk alerts.

Who Choose Us

Public institution

Urban Integration Control Center / Fire and Traffic Control Center / Defense GOP, Coastal Boundary

Manufacturing, Production

Smart Factory / MES System

Finance, Securities

Data Center / ATM Equipment

School

School safety

Hospital

Operating room / Nursing home

Use Cases

Bank

Pain Point

Need to analyze the cause of real-time failure during mobile/digital-banking traffic surges. delayed analysis due to lack of real time tools

Effect

Low-level packet statistics (reset-packet bursts) clarified root-cause. same-content request caching doubled response speed.

Industrial Complex

Pain Point

Required section-by-section visibility to locate failure points

Effect

Pinpointed quality-degradation sources. response-delay controls improved electronic-payment performance after certification tuning.

Provincial Government

Pain Point

Real-time monitoring essential for stability of large, multi-site networks

Effect

Segment-level dashboards predicted and diagnosed failures in real time, safeguarding e-government services.

Why Choose Us

Main Dashboard

CCTV Map

Statistical analysis

Real-time service analysis

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