Peripheral Device Conditional Imaging for Illegal Action Detection
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Solution Overview
Problem
Existing systems for detecting illegal actions in game arcades face challenges in reducing costs and efficiently obtaining high-definition face images of illegal players, leading to unreliable information and increased time in confirming illegal activities.
Innovation Solution
A peripheral device equipped with an imaging unit, such as a CCD camera, and a controller that determines illegality conditions and activates the imaging unit only when necessary, allowing for efficient face image capture and notification of illegal actions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple cameras are installed on the ceiling to detect player position and obtain face images, then the system can detect illegal actions, but the installation cost increases significantly
Solution Approach 1:
The patent combines the camera system with the gaming machine itself, integrating the imaging function into the machine structure. This eliminates the need for separate ceiling-mounted cameras and reduces overall system cost while maintaining detection capability.
Solution Approach 2:
The patent introduces a control unit that acts as an intermediary between the camera and the gaming machine controller. This control unit processes game information and triggers imaging only when illegal actions are detected, reducing the need for continuous high-cost surveillance infrastructure.
2Reliability
If continuous imaging is performed to track players moving at variable speeds, then illegal actions can be detected, but the imaging quality decreases due to focus issues
Solution Approach 1:
Instead of continuous imaging, the system performs periodic imaging triggered by specific game events or detected illegal actions. The control unit activates the camera only when needed, maintaining image quality while reducing the burden of tracking moving players.
Solution Approach 2:
The patent changes the operational parameters of the imaging system by triggering images based on game state parameters rather than continuous time-based capture. This allows high-definition imaging at critical moments without requiring continuous focus adjustment for moving subjects.
3Reliability
If manual confirmation of illegal actions is performed by checking which gaming machine the player used, then accurate detection is achieved, but the time and labor required increase significantly
Solution Approach 1:
The system implements automated feedback by having the control unit receive game information from the gaming machine, analyze it for illegal patterns, and automatically trigger imaging and identification. This eliminates manual confirmation processes and reduces time loss while maintaining accuracy.
Solution Approach 2:
The gaming machine and control unit perform self-verification by automatically comparing game data with imaging results to confirm illegal actions. This self-service mechanism eliminates the need for external manual confirmation, reducing both time and labor requirements.
Data Source
AI summary
A peripheral device (sandwiched device) to be installed adjacent to a gaming machine, including an imaging unit (CCD camera) configured to image a player who is playing a game with the gaming machine and output face image data for identifying the face of the player obtained by imaging, and a CPU configured to: obtain information about a game the player played with the gaming machine; determine whether or not an illegality condition is met based on the obtained information about the game; and set whether or not to activate the imaging unit based on the determination result.