Application Number: AU 2026201432
Smart Gaming Tables Face Recognition Tracks Bets and Players in Real Time
This patent describes a comprehensive game system that integrates face recognition, betting analysis, and database management to fully automate player identification and bet tracking. The system comprises several key components working in concert.
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Gaming tables have been mechanical, labor-intensive operations for centuries. Dealers watch hands, track chips, and determine winners manually. A Japanese company has developed an intelligent gaming system that automates player identification and bet tracking using face recognition and computer vision, reducing dealer workload while providing real-time gaming analytics and fraud prevention.
The Problem
Modern gaming establishments face significant operational challenges. At tables where multiple players place physical chips on different betting areas, determining who placed how much, who won what, and managing the transaction of winnings requires constant dealer attention and manual calculation. This creates several problems: human error in bet determination, time delays in resolving disputes, difficulty tracking individual player activities for marketing and compliance purposes, and vulnerability to collusion or cheating.
Standard systems that analyze images to identify chip stacks on betting areas can determine the bet amount, but they cannot reliably associate those bets with specific players, especially in crowded tables where multiple people may be leaning in to place or adjust bets. Without automated player identification, casinos cannot track which individual player is responsible for each bet, making it impossible to create detailed records of player activity, issue rewards, or enforce responsible gaming protocols.
What This Invention Does
This patent describes a comprehensive game system that integrates face recognition, betting analysis, and database management to fully automate player identification and bet tracking. The system comprises several key components working in concert.
A main player identifying device uses face recognition technology to identify each player present at a gaming table. Rather than simply recognizing faces, the system associates each recognized player with their specific play position at the table – determining not just who is playing, but where each player is located. This spatial association is critical because it enables the system to connect each player with their betting area.
A betting determination device analyzes images of the betting areas to identify which betting target areas have chips, what types of chips, and the quantity of chips in each stack. It then determines which gaming chips belong to which play position and calculates the total amount bet on each target area by each player.
A bettor determination device then makes a sophisticated distinction: it identifies whether chips on the same betting target area belong to a single main player or include chips from other players (non-main players or players from different positions). This is essential because at shared gaming tables, multiple players may contribute chips to the same betting area, and the system must track these contributions individually.
Finally, a database stores the complete betting record for each identified player, including their total betting amount, what they bet on, and their play position. This creates a comprehensive historical record that enables player tracking, loyalty program administration, regulatory compliance, and gaming analysis.
Key Features
Face Recognition Integration. The system identifies players by their facial features and associates each player with their physical location at the table, enabling automatic player identification without requiring players to insert cards or identify themselves manually.
Automated Bet Tracking. Camera systems capture images of the betting area from optimal angles (such as directly above the gaming table), and the system automatically identifies chip stacks, types, and quantities, eliminating manual dealer counting.
Multi-Player Attribution. The bettor determination device distinguishes between chips bet by the main player at a position versus chips bet by other players using the same betting area, enabling accurate attribution of bets to individual players.
Real-Time Analysis. The system processes images and determines betting in real time, updating the database continuously throughout gameplay without requiring manual data entry or waiting for reconciliation.
Scalable Architecture. The system can handle multiple play positions simultaneously (the patent references systems with numerous betting targets and play positions), making it suitable for both small and large gaming installations.
Compliance and Analytics. The database stores detailed records of which player bet what amount on which target, creating audit trails, enabling player loyalty tracking, and supporting regulatory requirements.
Who Is Behind It?
Angel Group Co., Ltd., a Japanese gaming company, developed this invention with inventor Shigeta Yasushi. The application was filed as a divisional of earlier Australian applications 2020267196 and 2024204819, with the original Japanese patent application filed in 2019. The system represents a major effort to modernize gaming table operations through automation and intelligent analysis. Davies Collison Cave Pty Ltd, based in Melbourne, manages the patent application.
Why It Matters
Gaming establishments globally operate under increasingly strict regulatory requirements demanding detailed player records, responsible gaming controls, and anti-fraud measures. This system automates the collection of those records while improving operational efficiency and reducing labor costs. The technology also enables unprecedented levels of player analytics, helping casinos understand play patterns, optimize table layouts, and customize player experiences.
The patent covers various configurations and use cases, from traditional table games with multiple betting positions to different betting area layouts. The classification under IPC G07F 17/32 (gaming machines with betting functionality) reflects its position at the intersection of gaming technology, computer vision, and player analytics systems.
For gaming operators, this represents a transition from manual table management to intelligent, data-driven operations that simultaneously reduce labor requirements, improve accuracy, enhance security, and enable sophisticated player management strategies.
AU 2026201432 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 and computer vision are transforming casino operations by enabling automated, real-time identification of players and tracking of chip placement without manual intervention. These technologies reduce human error, speed up dispute resolution, and create comprehensive audit trails.
Responsible gambling frameworks increasingly require gaming operators to maintain detailed records of individual player activity. Automated player-tracking systems – which associate bets with specific identified individuals – provide the granular data needed for loyalty programmes, compliance reporting, and intervention when problem gambling patterns are detected.
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