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Enterprise Layer Intelligence
Categories/Data Analytics/Aura Vision
Aura Vision

Aura Vision

Founded 2017

Track physical store footfall and shopper journeys using your existing security cameras

You can use Aura Vision to convert standard in-store security video feeds into actionable retail intelligence without installing extra sensors. By connecting a small edge device to your network, the system tracks foot traffic, store dwell times, queue lengths, customer demographics, and heatmaps. It automatically separates staff from visitors to ensure reporting accuracy while preserving privacy without facial recognition. Retail teams can query performance metrics via a conversational interface, test store layout changes, schedule floor personnel effectively, and evaluate campaign conversions across locations.

What Aura Vision does

Count shopper footfall across store entrancesGenerate store traffic heatmapsSeparate employee movements from customer journeysMeasure shopper dwell time at product displaysTrack checkout line wait timesAnalyze passerby capture rates for window displaysCalculate store conversion rates using sales register dataConnects directly with standard IP, RTSP, and ONVIF security camerasProcesses video locally on edge devices without uploading raw footageDistinguishes employees from shoppers to refine conversion dataDetects customer demographics including age and gender anonymouslyGenerates retail heatmaps showing foot traffic density and dwell areasNatural language search interface for querying store analyticsCalculates passer-by capture rates and storefront window effectivenessOperates without recording personally identifiable information or facial recognition

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Aura Vision, retail analytics, footfall counting, customer journey mapping, in-store analytics, computer vision, store heatmaps, shopper demographics, queue monitoring, dwell time tracking, conversion tracking, retail traffic analysis, loss prevention cameras, retail camera analytics, staff separation, Ask Aura