VIDEO: AI, cameras and lasers for FOD detection
Virtek Vision demonstrates its Iris AI technology at CAMX 2024. It combines laser projection with machine learning software to detect foreign object debris during a composite layup.
Hannah Mason, technical editor at CompositesWorld, spoke with Adam LaGorce, CEO of Virtek Vision International (Waterloo, Ont., Canada), at CAMX 2024.
The company demonstrated its Virtek Iris AI technology, which combines laser projection with machine learning software, for use in detecting foreign object debris, or FOD, during a composite layup.
The software, which will soon detect ply backing paper, features live detection capabilities and stores detailed reports with annotated images and coordinate system data.
The system is a bolt-on to existing projection systems, ensuring accuracy and compliance in composite layup processes.
For more information on this technology, view our recent webinar with Virtek here: Transforming Composites: AI-Driven Inspection for Composite Fabrication
Related Content
-
UTComp authors bulletin on fitness-for-service assessment of FRP
Welding Research Council (WRC) Bulletin 601 provides technical background and validation for quantitative nondestructive testing methodology for FRP composite equipment.
-
Laser NDT, DIC systems demonstrate optimized noncontact composites inspection
CAMX 2024: Dantec Dynamics is presenting three of its laser shearography NDT and DIC devices, geared toward reliable measurement results.
-
Innovation in ultrasonic inspection and nondestructive testing
With increasingly complex structural components working their way into aerospace programs, the need for versatility in inspection and testing capabilities is growing.