Case Study: How Casinos Are Using Facial Recognition to Combat Human Trafficking
Human trafficking is a growing and deeply concerning issue for casinos and hospitality venues, where traffickers exploit scale, anonymity, and constant guest movement. To help operators better understand and respond to this threat, eConnect partnered with Tribal Gaming & Hospitality Magazine to present a real-world case study on how facial recognition is being used to identify trafficking indicators and disrupt organized activity.
Watch the Case Study
This on-demand session features Ilani Casino Resort and shows how surveillance teams use facial recognition to move from reactive review to proactive prevention, even when false identities are involved.
Why Association Mapping Matters
Identifying a single individual is only part of the picture. eConnect’s Associations feature helps casinos understand how people are connected by revealing who repeatedly arrives together, moves together, or appears across related incidents.
By mapping these relationships, casinos gain visibility into:
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Linked individuals and repeat activity
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Hidden networks connected to trafficking and other crimes
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Patterns that traditional surveillance tools often miss
Learn From a Real Casino Operator
In this case study, Ilani Casino Resort shares how association mapping and real-time alerts help investigators act sooner, protect guests, and support law enforcement, all while integrating with existing surveillance systems.
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