What is Crowd Analytics?
Crowd Analytics is an automated safety and operations system designed to estimate occupant numbers, track crowd flow pathways, and detect congestion thresholds.
By analyzing video feeds frame-by-frame, the system counts crossings at entryways and measures spatial density index across large spaces, warning operators of overcrowding issues in under 12ms.
This live occupancy telemetry integrates seamlessly with building ventilation systems (BMS), safety control networks, and local warning displays to manage capacity rules.
Crowd Analytics with LogiScan
Deploying Crowd Analytics models onto LogiScan’s local edge compute system converts standard video feeds into active occupancy insight. Here is our edge deployment checklist:
Sub-12ms Density Checks
Neural models count people and estimate occupant numbers frame-by-frame on local GPU hardware.
Overcrowding Alerts
Automatically trigger warnings when group density passes safe thresholds in egress zones.
Entryway Transit Logs
Record unidirectional and bidirectional footfall counts at gates to audit facility utilization.
Zero Camera Swaps
Bridge directly into your existing IP camera infrastructure via standard RTSP protocols, avoiding rewiring costs.
Deploying Analytics in Minutes
Our customer portal allows security administrators to easily configure stream integrations and bind AI playbooks without writing code.
Register Camera Stream
Provide the RTSP address, IP camera feed, or link your existing VMS/NVR grid directly within the stream manager portal.
Draw Polygon Detection Zones
Define active tracking boundaries and safety tripwires directly on the live camera viewport overlay inside the browser.
Bind AI Model Playbook
Select and load the customized Crowd Analytics neural model to run frame inference on this specific camera channel.
Configure Alert Egress Actions
Choose warning targets to dispatch events automatically: Slack channels, EHS log databases, or custom REST webhooks.