A distributed fault tolerant nondestructive evaluation (NDE) data reduction framework is proposed in which large NDE datasets are mapped to thousands to millions of parallel, independent processes running on a mobile device, standard computer, or a networked cluster of machines. Each process scans a subset of the data for flaws and as independent entities are unaffected by errors in fellow processes or system failures. If a process fails, only its work is lost as the system continues to process the data; the work lost is immediately picked up by another process. The results of the parallel analyses are compiled back to the original dataset with structural flaw indicators. Phase I efforts are devoted to designing the framework and providing a proof of concept prototype able to automatically detect defects in NDE data.
Potential NASA Commercial Applications: (Limit 1500 characters, approximately 150 words)
Potential NASA Commercial Applications: include data reduction for aerospace inspection systems that generate terabytes of data and signal processing in microwave detection of water ingress in honeycomb structures such as radomes.
Potential NON-NASA Commercial Applications: (Limit 1500 characters, approximately 150 words)
Potential NON-NASA Commercial Applications: include face detection in security video for the DHS and TSA; aerial surveys used in law enforcement; and autonomous vehicle computer vision for the military and law enforcement.
Technology Taxonomy Mapping: (NASA's technology taxonomy has been developed by the SBIR-STTR program to disseminate awareness of proposed and awarded R/R&D in the agency. It is a listing of over 100 technologies, sorted into broad categories, of interest to NASA.) Computer System Architectures Data Fusion Data Modeling (see also Testing & Evaluation) Data Processing Development Environments Image Analysis Image Processing Nondestructive Evaluation (NDE; NDT) Quality/Reliability Thermal Imaging (see also Testing & Evaluation)
