AI-powered density estimation and people counting using regression-based density maps, accurate from sparse to ultra-dense environments where traditional detection fails.
Visylix Crowd Detection is an AI-powered system that estimates crowd density and counts people accurately in any environment. The technology generates real-time density maps, triggers occupancy alerts, and analyzes footfall trends for venue and public safety decisions. The system uses a regression-based density estimation network that produces spatial density maps per frame. Rather than detecting individual people, it predicts per-pixel crowd counts and works effectively from sparse to ultra-dense environments where traditional detection fails.
Core capabilities of the Crowd Detection model.
Produces per-pixel density maps that highlight concentration gradients and crowded hotspots in real time with color-coded overlays.
Allows users to define maximum capacity thresholds per zone with instant notifications when breached for proactive crowd control.
Enables custom polygonal zones on camera feeds to generate independent headcounts for specific areas within a single view.
Aggregates historical data across hourly, daily, and weekly intervals to reveal peak hours and capacity planning insights.
Maintains counting accuracy in ultra-dense crowds exceeding 2,000 people per frame where occlusion degrades traditional detectors.
Combines counts from multiple overlapping cameras into unified facility-wide dashboards with automatic overlap de-duplication.
Displays live crowd metrics on operational dashboards with configurable refresh rates and multi-zone visualization.
Generates detailed reports with peak occupancy, average density, and footfall trends exportable as CSV and PDF formats.
Real-world applications for Crowd Detection.
Real-time attendance monitoring at concerts, festivals, conferences, and sporting events with capacity breach alerts and evacuation support.
Crowd tracking at transit stations, public squares, and protest sites for resource allocation and emergency response coordination.
Store-level footfall measurement for marketing campaign evaluation, staffing optimization, and conversion rate calculation.
Passenger counting at gates, escalators, platforms, and concourses for schedule optimization and infrastructure planning.
Monitors lecture hall, cafeteria, and common area occupancy for space utilization analysis and facility management optimization.
Performance and deployment details.
Add Crowd Detection to your video pipeline in minutes.
Assign the model to specific cameras with zone definitions and sensitivity settings through the web UI or API.
The model processes video frames in real time, generating structured detection events with bounding boxes and metadata.
Receive instant alerts via webhooks, trigger automated workflows, or query detections through the REST API.
See how Crowd Detection is applied across different sectors.
Explore other computer vision capabilities.
Talk to our team to see this model in action on your video feeds.