Object detection with Amazon Nova 2 Lite

This article demonstrates how to implement object detection using Amazon Nova 2 Lite, a multimodal AI model that identifies objects in images through natural language prompts without requiring model training.

• Amazon Nova 2 Lite detects objects via natural language prompts, returning precise bounding box coordinates in JSON format
• Solution uses Amazon Bedrock, AWS Lambda, and Amazon API Gateway for serverless deployment
• Prompt engineering specifies object types and expected JSON output structure dynamically
• Nova's normalized coordinates (0-1000 scale) convert to pixel positions for visualization
• Serverless architecture with CloudFront, S3, API Gateway, Lambda scales automatically
• Cost: ~$0.0007 per image; 10,000 images approximately $5.69
• Real-world applications: manufacturing quality control, precision agriculture, logistics damage detection
• Complete source code and AWS CDK infrastructure available on GitHub

Amazon Nova 2 Lite enables rapid deployment of computer vision applications without ML expertise, infrastructure management, or model training, making object detection accessible to organizations of any size.