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The Evolution of Store Traffic Counting: How Embedded 2D AI Cameras Accurately Record Entry and Exit Traffic Without Compromising Interior Design

This article introduces how an embedded 2D AI cost-effective people counting camera can achieve high-precision entry and exit traffic statistics without compromising store decor. It provides a detailed analysis of installation methods, on-device AI capabilities, lens selection logic, and applicable scenarios, helping retail brands, chain stores, supermarkets, and scenic area or exhibition hall operators determine whether this solution fits their needs, and also lists key confirmation items before deployment.

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2026-08-25

The Evolution of Store Traffic Counting: How Embedded 2D AI Cameras Accurately Record Entry and Exit Traffic Without Compromising Interior Design

2026-08-25

Mall Atrium Storefront Traffic Counting in Practice: How High-Precision Pedestrian Detection and Real-Time Trajectories Handle Dense Crowds

Foot traffic counting in shopping mall atriums has long been plagued by missed detections and false detections caused by dense crowds and occlusion. Starting from the counting challenges, this article explains how 2D AI economy-class foot traffic cameras solve this problem through on-device AI inference and pedestrian trajectory tracking, and provides the selection logic for multi-focal-length lenses, helping mall management convert pass-by data into a basis for leasing and operational decisions.

2026-08-25

From footfall counting to zone heatmaps: multiple applications of 2D AI cameras in retail scenarios

This article is intended for retail brands, chain stores, supermarkets, and operators of scenic area exhibition halls, introducing the core capabilities and selection logic of the 2D AI economy passenger flow camera. The article breaks down in detail data dimensions such as entry and exit passenger flow statistics, pass-by store statistics, area attention, and dwell heat maps, and provides deployment recommendations and a checklist of key parameters to confirm for different scenarios, helping readers determine whether this solution suits their own needs.