The short definition

Generating a heat map starts with object detection on each video frame. Every detected person produces a coordinate (the bounding-box centroid mapped to scene space). Aggregated across thousands or millions of detections over the chosen time window, those coordinates form a 2D density distribution, rendered as a color overlay on a representative scene image: red where density is highest, blue where lowest. Two flavors are common. Movement heat maps weight every detection in every frame to show where people pass through. Dwell heat maps weight tracked-person residence time to show where people stop. Many platforms generate both.

Where heat maps drive decisions

  • Retail merchandising. Endcap effectiveness, aisle hot zones, fixture placement, promotional displays. A merchandising director compares heat maps before and after layout changes to validate the change drove traffic.
  • Store layout optimization. Cold zones flagged for re-merchandising or promotion, wayfinding fixes, mid-store eddies that discourage browsing.
  • Queue analysis. Heat maps at checkout, service desks, and pickup counters reveal queue formation, peak times, and configuration improvements.
  • Restaurant and hospitality. Bar congestion, host-stand patterns, table popularity. Operations teams use them to schedule staff and configure dining areas.
  • Manufacturing floor flow. Operator traffic between stations, ergonomic analysis, congestion at transition zones. Pairs with PPE compliance analytics for OSHA-relevant data.
  • Museums, galleries, event venues. Routing analysis, popular exhibits, crowd management at peaks.

Camera setup and reading the result

  • Mount overhead or near-overhead. Cameras pointing roughly downward work best. Eye-level wall mounts create occlusion that confuses the density calculation. Ceiling-mounted fisheye or multi-sensor cameras at 12 to 16 foot heights are the typical retail and warehouse setup.
  • Cover the area completely. Heat maps are biased toward camera-covered areas, so coverage gaps create false cold zones. Plan placement so the whole analyzed area is in view, and verify that cold zones reflect real low traffic.
  • Adequate resolution at floor level. Each person needs to be detectable as a distinct object. 4MP at 12-foot ceiling height handles most scenes; 8MP is needed at 18-foot warehouse ceilings.
  • Density doesn't equal value. A high-traffic aisle might be a transit corridor, not a merchandising hot zone. Pair heat maps with dwell time and conversion data.
  • Aggregation period matters. A daily heat map averages out morning rush versus afternoon lull. For staffing or product-placement decisions, look at hourly heat maps separately.

Platforms and pricing

Heat maps are typically a paid feature on top of base VMS:

  • Built-in camera analytics. Verkada Command, Axis Object Analytics, Hanwha Wisenet, Avigilon Unity all include heat maps in their analytics tier. Limited customization but easy deployment.
  • Camera-agnostic analytics platforms. Briefcam, Dragonfruit AI, Genetec KiwiVision. Stronger customization, runs on existing cameras of any brand, integrates with retail data systems.
  • Retail-specific platforms. RetailNext, Prism Skylabs (acquired), Trax Retail. Specialized for retail KPIs (conversion, basket build, queue management) with heat maps as one component.

When to ask Tec-Tel about heat maps

Heat maps work best when paired with a clear operational question (merchandising decision, layout change, queue management). We scope camera coverage, validate that existing cameras can produce usable analytics, and pair with the right platform for your industry.