技術摘要（英）
By leveraging generative data augmentation techniques, the costs of data collection and annotation can be significantly reduced, the timeline for AI adoption can be shortened, and stable, high-accuracy model performance across different machines and deployment environments can be ensured. The technology can be commercialized as AI inspection solutions or generative data enhancement platforms, and promoted through software licensing, cloud-based services, or customized project offerings.