Inspection Software with Automatic Reports and 3D Maps for Enusa
Custom software we built for Enusa: it turns drone data into automatic reports, charts and 3D maps, with no manual post-processing.
Written by Eduardo Fuentevilla Blanco
Robotics Engineer at Maedcore · Robotics Engineer LinkedIn ↗
From Inspection Data to Final Report, With No Manual Post-Processing
Executive summary: Maedcore built custom inspection software for Enusa Industrias Avanzadas. It turns drone and measurement-equipment data into a complete report with charts and a 3D map, automatically. Enusa’s team uploads the files to the application and sets it up. From there, the analysis, the 3D map and the report are produced on their own. Preparing each report went from about 2 working days of an engineer’s time to about 30 minutes, roughly 97% less.
This is a custom project for a client, not an off-the-shelf product. The full technical detail is in the radiation inspection software case for Enusa.
The Problem: Hours of Engineering in Every Report
After every inspection campaign, the office work followed the same steps:
- Gather the data from the drone and the measurement equipment.
- Move it into spreadsheets and match it to the position of each measurement point.
- Build the charts and maps by hand.
- Write the report and check it for transcription errors.
Each report took about two working days of an engineer’s time. And every manual step was a chance for error, in a sector — nuclear — where data traceability is non-negotiable.
How It Works Now

- Upload the files. The inspection data is loaded into the application as it comes from the drone and the measurement equipment.
- Set up. The technician adjusts the inspection settings in the application itself.
- Automatic analysis. The software processes the measurements, generates the charts and tables, and builds the 3D map with every measurement in its position.
- Report ready. The structured report comes out with charts, tables and the 3D map built in.
Before and After
| Before | With the software | |
|---|---|---|
| Report preparation | ~2 working days of an engineer’s time | ~30 minutes |
| Data processing | Manual, in spreadsheets | Automatic and validated |
| Transcription errors | Frequent | Zero in the processing stage |
| Visualisation | Hand-built charts | Automatic charts, tables and 3D map |
| Report content | Basic | More information and analysis than the manual version |
Why the 3D Map Matters
Every measurement is tied to its position in space, so the software can show it on a three-dimensional map, colour-coded by level. In a table, a technician takes a long time to see where the high values cluster. On the 3D map they see it at a glance, which speeds up the decision on where to act.
Technologies Used
Project built with: Artificial Intelligence — Data Analysis — 3D Visualisation — Report Automation
Is Your Team Losing Days Preparing Inspection Reports?
If your inspection data goes through spreadsheets before it becomes a report, tell us how your process works and we’ll look at which part can be automated.
Request a consultation | See the full Enusa case | AI & software services
If you build machines and want to monitor the equipment you have already delivered remotely, that is what our product Mapper does.
Related Reading
Related reading: our guide to how custom software development for manufacturers really works, predictive maintenance with AI and our comparison of predictive vs. preventive maintenance.
About the Author
Eduardo Fuentevilla Blanco
Robotics Engineer
For over a decade, I have been driven by a single mission: leveraging AI and robotics to build a world of automated production. I believe that by creating self-sufficient systems, we can empower people to refocus on what truly matters—their families and their passions. My expertise spans from winning prestigious European startup competitions to architecting complex, integrated hardware and software projects. I specialize in bridging the gap between today's industrial challenges and tomorrow's autonomous solutions.
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