Abstract
LLM-based visual inspection framework with two paths: text-only inference and vision-language inference. A lightweight GUI enables one-click automation. Models are evaluated on ripeness, freshness, and authenticity tasks.
Funding Information
  • National Natural Science Foundation of China (22204049)
  • National Natural Science Foundation of China (22574045)
  • Education Department of Hunan Province (23A0028)

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