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.
Multi-Hall Spatial Intelligence & VIP Protocol Alerting · Edge-Native
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.
Operational scenarios
Four daily challenges for venue operators and protocol officers - and how Chkdin AI addresses each.
Operational scenario 01
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.
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.
Proactive crowd redirection and instant compliance with public safety and maximum occupancy regulations.
Operational scenario 02
Ministers, foreign dignitaries and C-suite delegates arriving unannounced at massive convention gates, causing protocol embarrassment and security delays.
Sub-second 1:N facial verification across venue entry portals. When a VIP passes an optical sensor, the protocol team gets an instant mobile notification with arrival gate and assigned liaison details.
Under 500 ms protocol escort dispatch, eliminating delegate waiting at VIP entrance gates.
Operational scenario 03
Enforcing zero-trust security across public convention grounds where barred individuals, unauthorized press or threats attempt entry during high-profile summits.
Continuous cross-referencing of perimeter camera feeds against authorized local threat watchlists in under 1 second, without storing public visitor identity records.
Guard-room alerts fire before unauthorized targets cross hall threshold lines.
Operational scenario 04
Strict privacy regulations restricting persistent video surveillance, identity logging or facial profile storage of general public attendees.
100% volatile memory processing. Video frames and spatial trajectory vectors are evaluated strictly in RAM buffers and zeroized in under 50 ms - 0 KB written to persistent disk.
Designed to meet GDPR, DPDP, PDPA and CCPA privacy requirements while retaining complete crowd spatial intelligence.
Spatial mesh architecture & edge hardware
100+
Connects existing IP RTSP streams across 100+ venue cameras into localized rack-mount edge node arrays over private venue VLANs.
Failover
If one edge node loses power, adjacent nodes automatically redistribute spatial processing workloads with zero telemetry loss.
0 KB
Public attendees are never logged or stored on physical media.
Technical parameter matrix
Powered by the Vision AI Suite
Multi-hall crowd density, VIP recognition and watchlist alerts.
Explore Vision VenueBiometric access for VIP lounges, back-of-house and secure zones.
Explore Vision SecureRegistration, smart badging and offline-first accreditation for every event.
Explore Vision EventFAQ
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.
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.
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.
Adjacent nodes automatically redistribute the spatial processing workload with zero telemetry loss.