Anonymized Visitor De-Duplication System
Last Updated: October 21, 2026
Agrex.ai's Anonymized Visitor De-Duplication System converts raw footfall data into accurate unique visitor counts for retail environments. Using privacy-preserving computer vision, the solution identifies repeat shoppers, filters staff and delivery personnel, and eliminates duplicate counts across cameras without facial recognition or personally identifiable information. Deployed on edge devices, the solution delivers real-time insights while keeping video processing local to support privacy and operational efficiency. Retailers gain more accurate conversion metrics, reliable store comparisons, and improved workforce planning based on trusted visitor data. Leveraging Intel® Core™ Ultra processors and OpenVINO™ Toolkit, Agrex.ai accelerates edge AI inference and scalable deployment across retail locations to deliver privacy-first visitor intelligence at scale.
- Application Features
- Visitor De-Duping
- Privacy-First AI
- Edge AI Processing
- Staff Traffic Filter
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