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Boeing displays drone aircraft imagery capability at Dyess

Peter Rhodes, Boeing artificial intelligence engineer, explains Boeing’s Automated Damage Detection Software to Dyess personnel at Dyess Air Force Base, Texas, Aug. 14, 2024. Partnering with Boeing allowed Autonomous Small Unmanned Aircraft Systems to photograph aircraft for consistently efficient inspections. Boeing’s ADDS algorithm cuts general visual inspection time by over 50% and increases anomaly detection rate from 50 to 94%. This partnered innovation reduces risk to Airmen, establishes a centralized digital damage record and increases aircraft availability by decreasing downtime. (U.S. Air Force photo by Airman 1st Class Jade M. Caldwell)

PHOTO BY: Airman 1st Class Jade M. Caldwel
VIRIN: 240814-F-BO786-1095.JPG
FULL SIZE: 4.99 MB
Additional Details

CAMERA

NIKON Z 6_2

LENS

NIKKOR Z 24-70mm f/2.8 S

APERTURE

28/10

SHUTTERSPEED

1/160

ISO

800

IMAGE IS PUBLIC DOMAIN

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