Would be interested to learn about your approach with computer vision for detecting defects. I worked closely with a project some time ago where we flew overhead lines with a drone. We had some issues with background separation - given the conductor hung at varying heights and the drone flew at a constant height, the camera was always refocusing - it was hard to get consistent results. It ended up resulting in false positives more than anything.
I'm also interested in how you discern defects. Some sort of anomaly detection? ML? If so, how did you source training data? Also would be interested in how you determine speciation for underclearance of lines.
So many cool elements of this to nerd out about. Congrats on launch, will be following closely!