Computer vision inspection
Narrow thousands of inspection frames to the few that need a specialist.
Computer vision inspection
Inspection imagery has to be reviewed for corrosion, cracking, vegetation encroachment and structural damage at a volume no human can sustain, so most of it is skimmed or never looked at closely.
Inspection models are trained on data that does not resemble the asset being inspected, and inspectors will not trust a model that cannot explain itself. A false negative on a structural crack is not an acceptable error.
Scout ranks and routes findings for human review rather than replacing it: thousands of frames narrow to the few hundred worth a specialist's attention, each finding carrying its source frame and confidence. Thresholds favour false positives over misses, because the costs are not symmetric.
Scout feeds confirmed findings into the airworthiness and asset record, so an inspection result becomes part of the history Hangar keeps.
Tell us what you are flying and where the programme is losing time. We will tell you honestly which of these helps and which does not.