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Screen Recognition Technology Enables Game State Awareness Without API Access

2025-08-20 278
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Tease uses self-developed CV-Net visual recognition network to read game information directly through screen pixel analysis, avoiding the security risk of traditional assistive tools that need to crack game APIs. The technology can analyze the UI elements of games such as League of Legends (e.g. mini-map hero icons, gold values, skill cooldowns, etc.) in real time, with an accuracy rate of 99.2% at 1080P resolution.The innovative dynamic attention mechanism can intelligently allocate arithmetic power to focus on monitoring key information areas (e.g. the display box of the number of remaining players in Fearless Pact). The system refreshes the screen data every 200ms, and predicts the direction of the battle game (e.g. enemy fielding route speculation) through time series analysis. The program has obtained 3 image recognition patents, and the processing delay is controlled within 50ms.

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