AI Video Analytics for Retail: The Practical Guide
How computer vision turns camera footage into useful footfall, queue and event information. Learn where AI supports stores, what each capability measures and how to evaluate results.
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Start with the big picture.
Our foundational guide connects retail needs to the computer vision systems behind them.
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Customer Footfall Counting with CCTV: A Deployment Guide
Camera placement, line-crossing logic and validation techniques for useful visitor counts.
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How to Size GPUs for Multi-Camera Video Analytics
Calculate inference demand, test pipelines and avoid misleading cameras-per-GPU assumptions.
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Retail Queue Monitoring with Computer Vision
Measure checkout activity and design alerts that support store staff.
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Retail Video Analytics: Privacy and Security Checklist
A responsible deployment checklist for camera access, data retention and human review.
Read articleTOPICS WE COVER
From store floor to cloud architecture.
A useful video analytics deployment depends on both operational understanding and technical discipline.
Retail operations
Footfall counting, queue monitoring and ways to use operational signals.
Explore capabilityGPU infrastructure
Model throughput, cloud compute, stream processing and storage planning.
Explore capabilityResponsible AI
Video privacy, data minimisation, access controls and human review.
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