T2.5 · DispatcherSmart City

CCTV Zone Density Monitoring

Predict bottlenecks 15 minutes before they form using edge AI.
📈 Increase Revenue Improve Efficiency
Scenario Walkthrough

How It Works

1
NayaCore continuously analyzes CCTV feeds at the edge to calculate Queue-to-Experience Ratios (QER).
2
When a zone approaches saturation, the system automatically alerts dispatchers 15 minutes before a bottleneck forms, saving thousands in lost POS revenue and keeping visitors happy.

Predictive Bottleneck Prevention

Stop reacting to crowded bottlenecks. NayaCore continuously analyzes CCTV feeds at the edge to calculate Queue-to-Experience Ratios (QER). When a zone approaches saturation, the system automatically alerts dispatchers 15 minutes before a bottleneck forms, saving thousands in lost POS revenue and keeping visitors happy.

🏙️NayaAI — Smart City
NayaAI⚠️ **Peringatan Kepadatan (Zona 4 - Dufan Gate)**

Estimasi kepadatan: **85%** (142 orang).
Prediksi: Akan mencapai 100% dalam 15 menit jika tren berlanjut.

*Saran:* Buka jalur antrian B atau alihkan pengunjung ke Zona 3.
10:40
Siap, saya sudah buka jalur alternatif B.10:42
Architecture: Smart City CCTV Ingestion
CCTV 01CCTV 02CCTV nRTSP VideoNaya EdgeYOLOv9 InferenceJSON OnlySub-KB PayloadNaya CloudGlobal Dispatch
Business Impact

What Changes for Your Organization

📈

Queue-to-Experience Ratio (QER) maintained above target

Proactive diversion avoids angry crowds and refunds