Description

In today’s supply chain environments, traditional identification methods often fail due to lighting, distance, PPE, and
deliberate concealment. As organized theft networks and fictitious pickup schemes grow more sophisticated, security programs must move beyond static identifiers.
This session explores a movement-based approach to identification that analyzes how individuals operate within facilities and transportation networks. By evaluating consistent behavioral and movement patterns, organizations can reach high-confidence, defensible conclusions without relying solely on facial recognition.
Practical applications within high-value and regulated supply chains will be discussed, with emphasis on operational
integrity, scalability, and informed decision-making.