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Smart Retail People Flow Heatmap

See which shelves attract customers, which aisles get ignored — works with reCamera, IP cameras + AI boxes, pick the best fit for your store

Beginner15minSensing
recameraJetsonheatmapgrafanainfluxdbyoloprivacyanalyticsretail

What This Solution Does

Rearranging shelves and moving promotions around based on gut feeling rarely works well. This solution uses AI cameras to track customer movement and generate intuitive traffic distribution maps, showing you which areas are hot spots and which are dead zones — so you can make data-driven decisions for store operations.

And you don't have to stress about device selection — reCamera works out of the box for single-camera setups, while IP cameras + AI boxes can handle more channels. The same algorithm runs on different hardware with consistent results, so you can try before you commit.

Key Benefits

BenefitDetails
Find Hot SpotsSee at a glance which shelves attract the most customers — no need to review hours of footage
Discover Dead ZonesInstantly identify which aisles get ignored and which corners are overlooked
Compare Time PeriodsMorning vs evening, weekdays vs weekends — pull up historical data anytime
Flexible Device OptionsreCamera for quick single-camera setup, IP cameras + AI boxes for multi-channel coverage — mix and match to fit your budget

Use Cases

ScenarioHow to Use
Retail StoresSee which shelves customers linger at longest, place featured products in hot spots
Chain Store ExpansionValidate with reCamera at one location first, then scale with IP cameras + AI boxes across stores
Existing Camera UpgradeKeep your current IP cameras, add an AI box to enable heatmap analytics — no equipment replacement needed
Exhibition HallsFind the most popular exhibits and visitor paths, optimize future layouts

Requirements

Installation

  • Camera should be mounted high for a top-down view covering the target area
  • All devices must be on the same local network

Single-Channel Setup Tips

  • Camera distance to target: 3-5 meters
  • Target object size in frame: ideally >30×30 pixels

Deployment Comparison

OptionCore DeviceCamera ChannelsBest For
AI Camera DirectreCamera + reComputer R11001 per cameraQuick evaluation, small single-point area
Upgrade Existing CamerasIP camera + Jetson AI boxMultiple per boxLarge area coverage, keep existing cameras

Compute and Cost Notes

  • Light compute load: each box processes locally, server only aggregates data
  • IP camera + AI box throughput depends on box inference performance (scales with compute)
  • Fully local, no cloud fees

Usage Requirements

rtsp

reCamera or IP camera with RTSP stream

Deployment Options

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Smart Retail People Flow Heatmap