Auto-Organized Uploads

Drag, drop, done—photos auto-sort by asset, ready same day.

Every utility that has experimented with drone powerline inspections eventually runs into the same bottleneck: the flood of images after each flight. Thousands of photos pile up on memory cards, and teams are left renaming files, building folders, and trying to manually match images to the correct pole or tower. Not only is this tedious and time-consuming, but it also introduces serious risks of error—missed assets, mislabeled images, and inspection delays.

Most drone software tools offer only basic upload functionality. They dump the files in one place, leaving you to do the heavy lifting of organizing them into meaningful structures. For utilities flying at scale, this simply doesn’t work.

Utileyes fixes this problem with Auto-Organized Uploads. Pilots plug in their memory card, hit upload, and our platform takes care of everything. Using GPS metadata and asset mapping, the system automatically sorts each photo by location and assigns it to the correct pole, span, or structure. It doesn’t matter if you’re uploading hundreds of images from a single route or tens of thousands of files from a multi-day inspection campaign—Utileyes processes them instantly and reliably.

Standout: Built to handle high-volume utility workflows. Our system was designed from day one for the scale of UAV power line inspections, where speed and accuracy are critical. Competing platforms choke on large datasets, forcing utilities to batch uploads or spend hours fixing mislabeled images. Utileyes handles the workload without slowing down, giving you inspection-ready data the same day it’s captured.

For utilities focused on fire mitigation, vegetation management, or reliability reporting, this means faster insights and fewer missed anomalies. Instead of drowning in unstructured data, your team can immediately move to inspection, severity tagging, and reporting.

With Auto-Organized Uploads, Utileyes eliminates one of the industry’s biggest headaches—turning image chaos into structured, actionable intelligence in minutes.