AI heat map analytics turn raw video into space utilization data for retail optimization, workplace planning, and facility management.
Heat map analytics aggregate person detection data over time to create visual representations of space utilization. High-traffic areas appear in warm colors (red, orange), while low-traffic zones appear in cool colors (blue, green). This simple visualization transforms hours of video into actionable spatial intelligence.
Unlike traditional people counting that provides entry/exit totals, heat maps show where people go within a space, how long they stay, and which paths they follow. This granularity enables decisions that aggregate foot traffic numbers alone cannot support.
Retail heat maps reveal customer navigation patterns through stores. Which aisles get the most traffic? Where do customers pause and browse? Which endcaps and promotional displays are actually seen? This data directly informs store layout, product placement, and promotional strategy.
Comparing heat maps across time periods (weekday vs weekend, morning vs evening, promotional periods vs normal) reveals behavioral patterns that inform staffing schedules, promotional timing, and seasonal layout adjustments.
Office heat maps help facilities teams optimize space allocation based on actual utilization rather than assumptions. Meeting rooms that show low usage can be repurposed. Common areas with high dwell times may need expansion. High-traffic corridors may benefit from wider pathways or better signage.
For hospitals and healthcare facilities, heat maps track staff and patient flow, identifying bottleneck areas in emergency departments, surgical suites, and outpatient clinics. This data supports evidence-based facility design and operational improvements.
Visylix generates heat maps by accumulating person detection centroids (the center point of each detected person) onto a spatial grid mapped to the camera's field of view. Perspective correction ensures that detections at different distances from the camera are weighted equally.
Heat maps can be generated for any time window: last hour, last day, last week, or custom ranges. Overlay views combine heat map data with the live camera feed, allowing operators to see real-time activity in context of historical patterns.
People counting gives you entry and exit totals, while heat maps show where people actually go, how long they stay, and which paths they follow. Warm colors mark high-traffic zones and cool colors mark low-traffic ones, which turns hours of video into decisions about layout, product placement, and staffing.
Visylix accumulates person detection centroids onto a spatial grid mapped to each camera field of view, then applies perspective correction so detections at different distances carry equal weight. Heat maps can be generated for any window, from the last hour up to custom multi-week ranges.
Facilities teams use office heat maps to right-size meeting rooms, common areas, and corridors based on real utilization rather than assumptions. Hospitals use them to track patient and staff flow through emergency departments, surgical suites, and outpatient clinics, informing evidence-based facility design.
Yes. Visylix supports overlay views that combine heat map data with the live camera feed, so operators can watch real-time activity in the context of historical patterns. Comparing weekday against weekend or promotional periods against baselines is a common workflow for identifying behavioral shifts.