Know Your Player A Casino Facial Recognition System That Tracks Patrons Across All Gaming Tables

A Japanese gaming technology innovator has patented a player detection system for casinos that uses cameras, image analysis and facial recognition to automatically identify and track individual players as they move between gaming tables on the casino floor. Each player is assigned a unique identity number, enabling operators to monitor player activity, manage loyalty programmes and support regulatory compliance across an entire casino.

The Problem

In a large casino with dozens of gaming tables, keeping track of individual players is a significant challenge. Casino operators have legitimate reasons to monitor player activity – from identifying problem gamblers who have registered for self-exclusion programmes to ensuring high-value VIP players receive appropriate service, preventing fraud and identity-related crimes, and meeting regulatory requirements around due diligence.

Traditional approaches rely on a combination of staff observation, casino loyalty cards and physical ID checks. These methods are inconsistent, labour-intensive and easy to circumvent. A player who wishes to avoid being identified can simply decline to use a loyalty card. Surveillance footage is available but largely reviewed retrospectively, making real-time identification difficult.

At the same time, the ability to automatically and accurately link a player’s face to a unique identity across multiple tables and visits would give casino operators an unprecedented level of operational intelligence – as long as it is deployed within appropriate legal and privacy frameworks.

What This Invention Does

The invention describes a player detecting system that operates across a network of gaming tables. Each table is equipped with a game recording apparatus that continuously captures video images of the table area and its occupants. An image-analysing apparatus processes this footage to extract face images of the players seated at the table using computer vision.

A central control device receives these face images and applies facial recognition technology to identify individual players. Each identified player is assigned a unique identity number (ID), which serves as a persistent reference that follows the player regardless of which table they move to. The system can maintain a registry of known players – linking the identity number to other records such as loyalty programme data, self-exclusion registers or regulatory watchlists.

As players move between tables, the system automatically updates their location and activity records, providing a real-time picture of player distribution across the casino floor without requiring staff intervention or player cooperation.

Key Features

Automated facial recognition. The system extracts face images from live table camera footage and applies recognition technology to identify individual players without requiring them to present identification or actively participate in the process.

Persistent player identity numbers. Each recognised player is assigned a unique identity number that persists across sessions and tables, enabling continuous tracking and the building of player history records.

Multi-table network architecture. The system operates across a plurality of gaming tables connected to a central control device, enabling floor-wide player monitoring from a single point of management.

Real-time operation. Player identification and tracking occurs in real time as the game progresses, enabling immediate responses to flagged individuals such as self-excluded problem gamblers or persons of regulatory interest.

Integration-ready design. The identity number architecture is designed to link with external data systems – such as loyalty programme databases, self-exclusion registers and regulatory reporting platforms – extending the system’s utility beyond the gaming floor itself.

Who Is Behind It?

Angel Group Co., Ltd. is a Japanese gaming systems company with an active intellectual property programme in casino technology. This application shares its priority claims with AU 2026201516, tracing back to Japanese Patent Applications filed in August and October 2015. The Australian application is also a divisional of AU 2025204131. The inventor is Yasushi Shigeta. The application is managed by Pizzeys Patent and Trade Mark Attorneys Pty Ltd in Canberra.

Why It Matters

Player identification and tracking technology is a double-edged capability in the casino industry. On one hand, it offers operators powerful tools for customer service, loyalty management, fraud prevention and compliance with responsible gambling obligations – including the ability to automatically enforce self-exclusion programmes that depend on accurately recognising enrolled individuals at the point of entry or play.

On the other hand, the deployment of facial recognition in commercial settings raises important questions about privacy, consent and data governance that regulators in many jurisdictions are actively working to address. The practical value of this kind of technology will depend significantly on the legal and regulatory frameworks within which it is deployed. With IPC classifications spanning casino monitoring (G07C 11/00) and computer vision image analysis (G06T 7/00), the patent covers both the surveillance infrastructure and the identification technology – reflecting the breadth of the system’s capability.

---

AU 2026201517 was published in the Australian Official Journal of Patents on 19 March 2026 and is open for public inspection. Patent applications represent inventions that are sought to be protected and do not necessarily reflect commercially available products.

Related Concepts

Facial recognition technology enables automated identification of individuals from camera footage and is increasingly deployed in high-security commercial environments including casinos. Self-exclusion programmes allow problem gamblers to voluntarily ban themselves from gaming venues, but enforcing exclusions manually is resource-intensive and inconsistent. Automated, real-time facial recognition offers both operational and compliance benefits, while raising significant privacy and regulatory questions.