Capabilities - Crowd Analytics
Crowd Analytics goes beyond individual people detection to analyze group-level dynamics: how dense is a crowd, which direction is it flowing, where are bottlenecks forming, and is a dangerous surge developing. The system is designed to process wide-angle and elevated camera feeds covering large areas — stadiums, plazas, transit hubs, and festival grounds — where individual tracking is neither practical nor necessary. Density estimation models count approximate headcounts in regions where people overlap and occlude each other, while flow analysis maps the collective movement direction and speed across the scene.
- Real-Time Estimation
- Density Map
- Movement Analysis
- Flow Vectors
- Safety Monitoring
- Surge Alert
How it works - Crowd Analytics in three steps
Get started with crowd analytics in minutes using your existing camera infrastructure.
- Connect Elevated Cameras. Mount cameras at elevated vantage points — rooftops, poles, overhead structures — overlooking gathering areas. Wide-angle and fisheye lenses maximize coverage per camera. The platform also accepts drone feeds for temporary event coverage.
- Estimate Density and Flow. Density regression models estimate the number of people per square meter across the camera view, producing a continuously updated heat map. Optical flow analysis overlays directional vectors showing crowd movement speed and heading, identifying convergence points and counter-flow conditions.
- Detect Anomalies and Alert Operators. When density exceeds safe thresholds, flow reversals indicate a stampede risk, or crowd pressure builds at choke points, the system fires graduated alerts to event management and public safety teams. Real-time dashboards show density overlays on facility maps.
Features
Everything you need for production-grade crowd analytics.
- Density Estimation. Regression-based models estimate headcount per zone without requiring individual detection. Effective in dense crowds where people heavily overlap and occlude each other.
- Flow Direction and Speed Mapping. Optical flow analysis generates directional vectors across the scene, revealing dominant movement patterns, counter-flow conditions, and stagnation zones updated every second.
- Surge and Crush Risk Detection. Monitors for the conditions that precede crowd crush events: rapidly increasing density, counter-flow collisions, and crowd pressure at barriers or choke points. Graduated alerts escalate as risk levels increase.
- Evacuation Monitoring. Tracks the progress of crowd evacuation from a venue or area, measuring outflow rates at each exit and identifying zones where people remain. Provides real-time evacuation status to incident commanders.
- Zone Capacity Management. Define zones across a venue and set capacity thresholds for each. Real-time density feeds enable gate control decisions — closing entry to full zones and redirecting flow to available areas.
- Historical Pattern Analysis. Records density and flow data over time to identify recurring patterns: peak arrival times, post-event exit surges, and congestion hotspots. Informs future event planning and infrastructure design.
- Drone-Based Temporary Coverage. For temporary events without fixed camera infrastructure, drone feeds provide aerial crowd analytics with the same density and flow capabilities as fixed installations.
Use cases
Real-world applications of crowd analytics across industries.
Stadium and Arena Event Management
Large venues need to monitor crowd density across concourses, gates, and seating sections during events. Real-time density maps can guide staff deployment, gate opening decisions, and identify sections approaching unsafe density.
- Events
- Hospitality
Transit Hub Congestion Management
Train stations and bus terminals experience surge conditions during rush hours and service disruptions. Density and flow analytics can trigger dynamic signage, gate control, and platform access management to distribute crowd load.
- Transportation
- Smart City
Festival and Open-Air Event Safety
Music festivals and public gatherings on open ground lack built-in crowd management infrastructure. Drone and tower camera analytics can provide the same crowd intelligence that fixed-venue systems offer, enabling safety teams to spot dangerous density buildups.
- Events
- Government
Retail and Shopping Center Traffic
Shopping centers need to understand pedestrian flow through corridors, atriums, and food courts. Crowd analytics can reveal high-traffic corridors, underutilized areas, and peak congestion times to inform tenant placement and wayfinding design.
- Retail
- Real Estate
Public Safety and Protest Monitoring
Public safety agencies monitoring large gatherings need real-time density and movement data. Crowd analytics can provide situational awareness to incident commanders without requiring individual identification or facial recognition.
- Government
- Smart City
Theme Park Queue and Zone Management
Theme parks must balance crowd load across attractions, dining areas, and pathways. Density analytics can power dynamic wait-time displays, crowd-level alerts to staff, and guest flow optimization throughout the park.
- Hospitality
- Events
See how crowd analytics works in your environment
Schedule a free discovery call. We will walk through your cameras, your use case, and what our detection models can do for you.
Technical specifications
- Models
- CSRNet / CAN density regression models with optical flow (RAFT) for movement analysis
- Accuracy
- Density estimation within +/-10% in crowds up to 5 persons/m²; flow vectors updated per-second
- Latency
- <100ms per frame on NVIDIA T4; dashboard refresh rate 1Hz
- Input Formats
- RTSP, ONVIF, MP4, HLS, drone video feeds, fisheye/panoramic streams
- Output Formats
- JSON, MQTT, Webhooks, GeoJSON (for map overlays), CSV, Prometheus metrics
- Edge Support
- NVIDIA Jetson Orin, Intel NUC, any x86 with CUDA-capable GPU
Industries using this capability
Related capabilities
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Contact us
- Headquarters
ConductScience Inc.
5250 Old Orchard Rd Suite 300
Skokie, IL 60077
+1 (847) 983-3672 - Sales & Support
info@conductscience.com
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