Missing Child Detection System

I'll create a Next.js application that demonstrates how a missing child detection system could work using YOLOv5 for object detection and Vision Transformers for feature extraction and classification.

System Architecture

This application demonstrates a conceptual missing child detection system using YOLOv5 and Vision Transformers. Here's how the system works:

Technical Implementation Details

In a production implementation, the system would:

1. Extract frames from the uploaded video
2. Detect people in each frame using YOLOv5
3. Extract faces from the detected people
4. Process faces with Vision Transformer to extract facial features
5. Compare features against a database of missing children
6. Generate alerts if a match is found

The actual ML processing would happen on the server-side using:

Important Considerations

For a real-world implementation of this system, consider:

1. Privacy and Ethics: Ensure the system complies with privacy laws and ethical guidelines for facial recognition.
2. False Positives/Negatives: Implement verification steps to minimize false alerts.
3. Database Management: Maintain an up-to-date, secure database of missing children.
4. Performance Optimization: Process videos efficiently to handle large files.
5. Security: Implement proper authentication and encryption for sensitive data.

This demonstration shows the concept and user interface for such a system. A production implementation would require integration with actual ML models and a secure database of missing children information.