Multi-Hall Spatial Intelligence & VIP Protocol Alerting · Edge-Native

Real-Time Spatial Crowd Analytics. Sub-Second VIP Protocol.

Monitor multi-hall crowd density heatmaps, detect concourse bottlenecks before they happen and trigger instant VIP recognition alerts across sprawling convention facilities - processed 100% on air-gapped edge nodes.

  • Spatial Vectors Tracked50k+simultaneously per facility
  • VIP Protocol Alert Relay<500msgate to protocol team
  • On-Device RAM Processing100%no cloud processing
  • Cloud Video Logging0KBzero persistence

Operational scenarios

Run the venue from one spatial view.

Four daily challenges for venue operators and protocol officers - and how Chkdin AI addresses each.

Operational scenario 01

Multi-Hall Overcrowding & Evacuation Bottlenecks

The challenge

Massive trade expos with 40,000+ daily attendees face dangerous congestion in exhibition halls, food plazas and escalator concourses - creating safety hazards and fire-code violations.

The Chkdin AI solution

Camera-agnostic edge nodes ingest optical streams across dozens of halls, rendering sub-second spatial density heatmaps. When a hall or exit corridor exceeds preset capacity thresholds, control rooms receive automated routing alerts.

Key outcome

Proactive crowd redirection and instant compliance with public safety and maximum occupancy regulations.

Spatial mesh architecture & edge hardware

Your cameras. Our edge mesh.

100+

Multi-Camera Edge-Mesh Ingest

Connects existing IP RTSP streams across 100+ venue cameras into localized rack-mount edge node arrays over private venue VLANs.

Failover

Decentralized Node Failover

If one edge node loses power, adjacent nodes automatically redistribute spatial processing workloads with zero telemetry loss.

0 KB

Zero Disk Footprint

Public attendees are never logged or stored on physical media.

Technical parameter matrix

Venue operations parameters.

Smart venue parameterEngineering benchmark specification
VIP Protocol Match Latency < 10 ms local in-RAM biometric search
Concurrent Spatial Telemetry Up to 50,000 active vectors / facility mesh
Cross-Camera Re-ID Alert < 1.0 s guard-room push
Camera Ingest Capacity Up to 120 FPS parallel optical streams
Disk Storage Footprint 0 KB written to disk (100% volatile RAM)
Network Architecture 100% air-gapped local mesh (zero cloud dependency)

FAQ

Smart venues, answered.

Can Chkdin AI use our existing venue cameras?

Yes. Camera-agnostic edge nodes connect existing IP RTSP streams across 100+ venue cameras into localized rack-mount edge node arrays over private venue VLANs.

How quickly are VIP arrivals flagged?

VIP matching runs as a local in-RAM search in under 10 ms, and the protocol team receives the arrival alert in under 500 ms with gate location and liaison details.

Are public attendees recorded?

No. Video frames and spatial trajectory vectors are evaluated strictly in RAM and zeroized in under 50 ms, with 0 KB written to persistent storage.

What if an edge node loses power?

Adjacent nodes automatically redistribute the spatial processing workload with zero telemetry loss.