This invention relates to the field of game anti-
cheating technology, specifically to an AI-driven
system for identifying and transmitting images of game violations. The
system first aggregates authoritative game data on the
server side, calculates the balance deviation
score of
attack attempts, filters high-risk triggering events, and limits the
evidence collection time window and pixel acquisition area. Next, it extracts legitimate semantic summaries from the
game engine rendering chain, generates a predictive structure
mask, and identifies semantically uninterpretable illegal overlays by comparing pixel-level differences. Finally, it integrates risk-graded transmitted evidence, and the
server completes consistency
verification through a homogeneous process. This invention does not rely on the appearance characteristics of cheats, significantly reduces computing power and bandwidth consumption, and provides a complete and auditable evidence chain.