CROWD MANAGEMENT SYSTEM
Know exactly how many people are where, before it becomes a safety risk
Our Crowd Management System is a vendor-agnostic, 3D-sensing portfolio designed to deliver accurate people counting and real-time crowd intelligence across both controlled indoor environments and large open-area gatherings. Combining AI-powered Time-of-Flight (ToF) sensors, 3D stereo vision, and high-end LiDAR, it overcomes the occlusion, privacy, and scale limitations of traditional 2D camera-based counting, delivering 98%+ accuracy with fully anonymous, privacy-first detection.
The solution covers two complementary application areas: precision people counting in defined spaces such as buildings, temples, convention centres, and stadiums, and wide-area crowd estimation for religious events, city markets, and public gatherings, giving operators the data and live intelligence needed to optimise flow, prevent overcrowding, and enhance public safety.
Application Areas
- People Counting (Footfall Tracking)
Accurately counts people entering, exiting, or occupying a defined physical space. This is primarily a data-collection capability that provides structured metrics: visitor counts, dwell time, conversion rates, and flow patterns used for staff scheduling, marketing ROI, and resource allocation across buildings, temples, convention centres, stadiums, and transit hubs. -
Crowd Estimation (Occupancy & Density Monitoring)
Puts counting data to active, real-time use to monitor, control, and optimise the flow, density, and safety of large groups in open or semi-open environments. Delivers live occupancy, density alerts, queue times, and flow-control triggers for religious events, crowded city markets, festivals, and public gatherings, enabling emergency response planning and stampede prevention.
Key Features
Triple-Technology, Vendor-Agnostic Portfolio
Leverages a specialised suite of AI-ToF, 3D stereo vision, and high-end LiDAR sensors, giving customers the flexibility to select the best-fit technology for each site or combine them in a hybrid deployment without proprietary lock-ins.
98%+ Counting Accuracy
Advanced 3D depth sensing and AI perception overcome the occlusion problem inherent in traditional 2D camera systems, delivering reliable, high-density counting even when people block each other from view.
Edge-AI Processing
On-device intelligence filters out non-human objects, handles U-turns correctly, and processes counting logic locally, ensuring immediate, clean data transmission without dependence on centralised servers.
Privacy-First Design
ToF and LiDAR sensors capture only 3D depth geometry, never faces, biometrics, or visual imagery, enabling 100% anonymous detection that’s compliant with global privacy regulations such as GDPR and CCPA.
Wide-Area, Wide-Passage Coverage
Monitors extremely wide passages (up to 15 meters with networked ToF arrays) and massive outdoor areas, such as entire event grounds, temple complexes, or city plazas, with just a handful of LiDAR sensors.
Real-Time Occupancy & Density Alerts
Continuously tracks live occupancy against configurable thresholds, triggering automatic alerts as density approaches unsafe levels, enabling proactive crowd control, gate closures, and volunteer deployment before an incident occurs.
All-Weather, All-Environment Reliability
LiDAR sensors operate consistently in rain, fog, darkness, and extreme temperatures, making the system suitable for open-air religious gatherings, outdoor markets, and round-the-clock public deployments where cameras alone would fail.
Multi-Directional, Multi-Target Tracking
Simultaneously tracks multiple people moving in multiple directions, classifying pedestrians, cyclists, and vehicles where relevant, while measuring dwell time, flow direction, and trajectory.
Cloud & Dashboard Analytics
Feeds data into a web-based analytics platform delivering footfall trends, occupancy heat maps, queue analytics, hotspot analysis, and historical reports for operational optimisation and infrastructure planning.
Seamless System Integration
Open protocols (HTTP/HTTPS, MQTT, REST APIs) enable straightforward integration with VMS, PSIM, C&C platforms, access control, and building management systems, feeding crowd intelligence directly into unified command operations.
Hybrid, Scalable Deployments
For sophisticated projects, combine multiple technologies: ToF at standard entrances, stereo vision in high-traffic indoor zones, and LiDAR across outdoor perimeters and open plazas, optimising both performance and cost within a single, unified crowd intelligence platform.
Connects devices and systems from any manufacturer on one open platform, protecting existing investments and giving you the freedom to choose best-of-breed technology for every application with no vendor lock-in.
Cross-references data from multiple sources to catch complex events that individual systems would miss on their own, for example, linking a failed access card swipe, a motion sensor alert, and an unrecognised vehicle into a single confirmed security breach.
Walks every operator through a predefined, step-by-step response procedure when an incident occurs, ensuring consistent, auditable, and rapid handling regardless of who is on shift.
Triggers preconfigured responses the instant an event occurs, unlocking emergency exits, activating lighting, and notifying first responders the moment a fire alarm is raised, without waiting on a human decision.
Displays all security assets and active incidents on a live, interactive map. Operators click a camera icon to pull up live video or a door icon to lock or unlock it remotely, with full geospatial context for every event.
Logs every event, action, and operator response automatically, creating a complete audit trail for post-incident analysis, compliance reporting, and performance review.
Lets security managers monitor systems, receive alerts, and respond to incidents from a smartphone or tablet, keeping control in hand from anywhere, not just the control room.
Analyses historical event data to identify patterns and forecast emerging risks, helping teams move from reactive monitoring to proactive threat prevention.
Centralises visibility into available security personnel, vehicles, and equipment, so operators can dispatch the right response assets to the right location, every time.
Applies live changes to rules, thresholds, and device configurations across all connected subsystems without interrupting operations or requiring changes to each system individually.
Continuously checks the status of every connected device, flagging a faulty camera, offline sensor, or failed component before it creates a coverage gap, not just after a security event occurs.
Runs on redundant servers, gateways, and databases with automatic failover, so a subsystem failure never interrupts control room operations or compromises business continuity.