Application: Intelligent Crowd Management System with Video Cameras
Description
Leverages real-time video surveillance along with IoT sensors to monitor crowd density, movement patterns, and potential bottlenecks. The integration of cameras enhances situational awareness, enabling faster response to overcrowding, safety concerns, and improved flow management in public spaces.
Devices
- Video cameras that aggregate changes to an image to estimate crowd density
KPIs
| KPI | Value | Notes |
|---|---|---|
| DL E2E Packet Latency | Best effort | — |
| UL E2E Packet Latency | Best effort | — |
| E2E Packet Jitter | Not sensitive | — |
| DL User Experience Data Rate (Mbps) | Medium: 10 - 50 Mbps | — |
| UL User Experience Data Rate (Mbps) | Medium: 10 - 50 Mbps | — |
| Communication Service Availability | Medium: 90 - 95% | — |
| Criticality | Non-critical | — |
| Priority Service (NS/EP) | No | — |
| Service Continuity | Not required | — |
| Mobility | Fixed | — |
| Connection Density | Low: < 1000 | — |
| Communication Direction | Two-way | — |
| Data Reporting Mode | Continuous-based | — |
| Connectivity Type (BAN/PAN/WAN/LAN) | WAN - Cellular/LPWA/Satellite | — |
| Position Accuracy | Relaxed (3 m - 30 m) | — |
| Sensing Range Resolution | Moderate (10 m - 50 m) | — |
| Velocity Resolution | < 1 m/s | — |