Game Machine Player Card Classification
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Solution Overview
Problem
Game machines using pre-printed character cards lack variation and do not account for player information, resulting in uniform treatment of characters, limiting game diversity and player engagement.
Innovation Solution
A game machine that acquires player information from a recording medium to reproduce and classify images differently for each player, using an information acquiring device, image reproducing device, and image classifying device to create distinct classifications based on player information, allowing for varied treatment of characters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If pre-printed character cards are used, then the game machine structure is simple, but the variation of used cards is limited and player information cannot be utilized
Solution Approach 1:
The patent transitions from static pre-printed cards to dynamic generated cards. The card generation unit creates cards with variable content including player information, game results, and random elements during or after game execution. This allows the same card template to produce infinitely varied cards based on actual game data, resolving the contradiction between simple structure and high versatility.
Solution Approach 2:
The patent changes the parameters of character cards from fixed pre-printed content to variable generated content. By incorporating player information (name, ID), game results (win/loss, scores), and random generation, the card parameters become dynamic. This allows the system to maintain simple hardware while achieving high card variation through data parameter changes.
2Productivity
If uniform character treatment is used, then the game processing is simple, but the game diversity and player engagement are limited
Solution Approach 1:
The patent applies local quality by differentiating character treatment based on player information and game results. Instead of uniform processing, the system tailors card content, character attributes, and game outcomes to each player's specific data. This allows efficient batch processing while creating personalized experiences that enhance engagement and diversity.
Solution Approach 2:
The patent segments character treatment into multiple classification categories (first classification and second classification) based on player information and game results. This segmentation enables differentiated processing rules for different character types while maintaining overall system efficiency through structured classification rather than completely individualized processing.
3Device complexity
If player information is not recorded on cards, then the card design is simple, but the ability to identify and classify characters by holder is lost
Solution Approach 1:
The patent merges player information (name, ID) directly with character card content. Instead of separate identification systems, the player information becomes an integral part of the card design. This integration maintains simple card structure while enabling holder identification and classification through the combined information on each card.
Data Source
AI summary
A game machine acquires predetermined information used to reproduce a image of character during a game from a character card, and uses the image of character for a progress of the game. The game machine includes a Bar code reader adapted and configured to acquire from the character card, information of player name that is associated with a image of character as information used to identify each player playing the game. And, the game machine reproduces a plurality of images of characters during the game based on the predetermined information of each character card, and classifies each image of character reproduced during the game based on the information of player name associated with each image of character into classifications which are dealt with differently from each other in the game.