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The intended inspection application is to detect, position, and size submillimeter pore defects in thin (≈ 5 mm) laser-welded titanium.
This paper describes the development and validation process of a highly automated Guidance, Navigation, & Control subsystem for a small satellite on-orbit inspection application, enabling proximity operations without human-in-the-loop interaction.
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Image alignment is considered a key problem in visual inspection applications.
Subsurface Radar (SR) is a reliable technology that is currently used for an increasing number of nondestructive inspection applications [1 5].
An effective method was introduced by Martínez-Usó et al. [16] for spectral image segmentation in fruit inspection applications.
Main constraints concerning these kind of inspection applications are addressed: the need of on-line operation together with an strong requirement of economic profitability.
String matching plays a central role in packet inspection applications such as intrusion detection, anti-virus, anti-spam and Web filtering.
The paper presents a number of structuring principles for the design of merged Robot Vision and Automated Visual Inspection applications, where robot controllers extended with machine vision units act as master devices over CAM workstations.
The experiments conducted on a real structured light vision sensor that consists of a camera and a single-light-stripe-plane laser projector reveal that the proposed approach has high accuracy and is practical in the vision inspection applications.
Several nondestructive inspection applications of the apparatus, including distinguishing between polyethylene grains of different densities, characterizing epoxy putties of distinct set times and evaluating the fat content percentages of milk powders, are also demonstrated.
Future work will be focused on improving the performance of our method by exploiting a parallel hardware and to improve the robustness of our QLCP measure for inspection applications, which typically require to automatically align models captured at different times from scenes possibly containing changes.
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