Ordinary foot traffic counters lack depth judgment and fail in complex scenes. We built an AI‑driven foot traffic analytics system based on 3D stereo vision.
Dual‑lens stereo cameras obtain accurate spatial depth data. Edge AI identifies and tracks pedestrians in real time, recording visitor numbers, crowd density and stay time.
The system converts raw foot traffic data into operational insights such as peak‑hour management and customer behavior analysis, suitable for retail, commercial plazas and public service spaces.
FOORIR
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Building an AI Foot Traffic Analytics System with 3D Stereo Vision
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