A game activity automatic acceptance method, system, device and medium

By using object detection networks and deep reinforcement learning algorithms to analyze the game interface and combining network request data verification, the time-consuming and consistency issues of game activity acceptance are resolved, and end-to-end automated acceptance is achieved.

CN122298025APending Publication Date: 2026-06-30安徽三七极光网络科技有限公司
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
安徽三七极光网络科技有限公司
Filing Date
2026-04-02
Publication Date
2026-06-30

AI Technical Summary

Technical Problem

In existing technologies, game activity acceptance relies on manual operation, which is time-consuming and prone to omissions. It cannot guarantee the consistency of UI and data across multiple platforms, leading to blind spots in acceptance and online incidents.

Method used

An object detection network is used to parse the interface and construct an interface structure tree. The optimal traversal path is generated by combining deep reinforcement learning algorithms, network requests are captured, business data is extracted, and verification is performed through an activity configuration rule base and knowledge graph to achieve end-to-end data consistency verification.

Benefits of technology

It has enabled automated acceptance of game activities, eliminated blind spots in acceptance, ensured UI consistency and data consistency across multiple platforms, and improved acceptance efficiency and accuracy.

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Abstract

This application relates to the field of computer technology and provides an automatic acceptance method for game activities, including: synchronously performing image recognition on the activity interfaces of multiple game clients, traversing and recognizing the activity interfaces of the game clients to obtain an operation sequence; responding to the operation sequence, capturing network requests between each game client and the backend server, and extracting business data; based on the business data and combined with a preset activity configuration rule base, verifying the correctness of the activity configuration and verifying the consistency of the data. This application achieves end-to-end full-link data consistency assurance from the front-end interface, network transmission to the backend response, completely eliminating acceptance blind spots and realizing automated acceptance of game activities.
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