AI BriefingBuilding an Automated Product Image Inspection System Using AWS Bedrock and Claude 3.5 Sonnet
Key point
Olive Young built a system that automatically inspects the quality of product images using Claude 3.5 Sonnet on AWS Bedrock.
Details
Olive Young's Catalog Service Development Team introduced an AI-based automated inspection system to overcome the limitations of manual inspection in order to comply with various image guidelines across external platforms.
After comparing several models, Claude 3.5 Sonnet was selected as the final model, showing the best performance in terms of accuracy and ease of integration with AWS infrastructure. The system consists of image upload, analysis, result processing, and data management services.
During implementation, the following optimization strategies were used to address the instability of AI responses:
- Defining roles and providing context by introducing a System Prompt
- Setting Temperature to 0 to minimize randomness
- Controlling output via Top-p(0.1) and Top-k(1) settings
- Applying prompt engineering, including clear instructions, concrete examples, and specifying the JSON response format
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