Transforms person-detection data into color-coded spatial overlays revealing movement patterns, dwell times, traffic flows, and engagement hotspots.
Visylix Heat Map Analytics transforms person-detection data into intuitive color-coded overlays that reveal spatial usage patterns. The system aggregates detection data across configurable timeframes — from minutes to months — to help organizations understand movement and engagement patterns. It produces dwell-time heatmaps, traffic-flow visualizations, and temporal comparison views. Floor-plan overlay mode maps camera-view data onto architectural plans using homography transforms for facility-wide spatial analysis. Zone-level statistics extract metrics including average dwell time, visit frequency, and peak occupancy by region.
Core capabilities of the Heat Map Analytics model.
Identifies areas where individuals spend the most time, weighted by duration of presence, for engagement and interest analysis.
Visualizes frequently traversed paths and corridors to reveal natural movement patterns, bottlenecks, and underutilized routes.
Enables side-by-side analysis across different time periods for A/B testing of layout changes, promotions, and signage placement.
Maps camera-view heatmap data onto architectural floor plans using homography transforms for facility-wide spatial analysis.
Extracts metrics including average dwell time, visit frequency, peak occupancy, and engagement scores by custom-defined regions.
Displays live heatmaps on operational dashboards with continuous updates for immediate spatial awareness and response.
Exports heatmap visualizations up to 4K resolution in PNG, JPEG, and JSON formats for presentations and reports.
Aggregates data from minutes to months with year-over-year comparison capabilities for long-term trend identification.
Real-world applications for Heat Map Analytics.
Optimizes store layouts, merchandise placement, and promotional displays based on shopper engagement patterns and dwell-time analysis.
Analyzes visitor flow through galleries and exhibits to improve placement, signage, and tour route design for maximum engagement.
Reveals underutilized areas and congestion points in workspaces to inform redesigns, hot-desking strategies, and facility management.
Optimizes passenger flow through terminals, identifies congestion bottlenecks at security and gates, and improves wayfinding signage.
Maps guest movement at hotels, conference centers, and event venues to optimize service placement and improve guest experience.
Performance and deployment details.
Add Heat Map Analytics 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 Heat Map Analytics is applied across different sectors.
Explore other computer vision capabilities.
Talk to our team to see this model in action on your video feeds.