Introducing Structure-Based Data Organization

Our drone inspection application just got a major upgrade to its data management system! Luís Almeida has implemented a sophisticated folder organization system that automatically categorizes inspection data by structure.

Organized by Structure, Optimized for Analysis

The new system creates a hierarchical folder structure that makes finding and analyzing inspection data more intuitive than ever: /Inspections /Structure_S1 /Photo_P1_20250518 /Photo_P2_20250518 … /Structure_S2 /Photo_P1_20250518 …

ach structure gets its own dedicated folder, with subfolders for each photo position containing the timestamped images and associated metadata.

Benefits for Field Teams

This organizational approach offers several immediate benefits:

• Faster access to specific structure data
• Streamlined comparison between different inspection dates
• Simplified reporting for specific structures
• Reduced errors in data association
• Improved handoff between field and analysis teams

Technical Details

The system works by parsing the structure and photo position data from the CSV mission files and using this information to create a consistent naming and folder structure. The implementation hooks into the PhotoStorageManager class to ensure all newly captured photos are automatically filed in the correct location.

Future Enhancements

In future updates, we plan to add automatic synchronization with cloud storage systems and implement a search function that can quickly locate specific structures or photo positions across multiple inspection dates.

We’re confident this new organizational system will make a significant difference in the efficiency of field operations and subsequent analysis work. Great job, Luís!