Persons reID

This system leverages high-resolution cameras for real-time detection and reidentification of customers entering a store. It anonymizes faces, manages customer queues, tracks waiting times and staff availability.

Manual management of in-store queues was inefficient, error-prone, and lacked real-time analytics. There was a need for accurate, secure, and automated customer tracking, anonymization, and queue handling across multiple branches.

We implemented a camera-based detection and reidentification system integrated with local and cloud components. Customers are automatically detected, anonymized, and added to queues. Store assistants can manage these queues, while centralized reporting provides real-time statistics and insights.