AI Vision Engine has been built to provide meaning to abstract, esoteric, unstructured data. Trained to look at unstructured documents and figure out what is important and what is not. Analysis module take the output from AI Vision & cross correlate them to.
Save lead time to recognize & provide an exactly matching concession in a database of concessions by utilizing the non-conformity images, non-conformity type, impacted drawing number & location of the impact.
Productivity: AI / ML based application will identify relevant or very similar concessions very quickly, thereby improving the productivity.
Accuracy: Reduces time taken for each concession search from 15 minutes - 1 hour to less than a minute without compromising the data integrity.
Efficiency: The highly efficient, accurate algorithm will be chosen out of existing various AI/ML based algorithms, which guarantees the improvement in efficiency.
AIML application to recognize & provide an exactly matching repair solution from the database by reading damage images, explanation, impacted drawing number & location of the impact.
Efficiency: Standardized airliner damage reports will reduce communication loops & hence less number of TRM lines will be necessary to close a repair case.
Quicker resolutions: ML can provide repair solution/proposals for repetitive tasks quickly and less lead time to address AoG cases. Harmonized solutions will reduce check, approval & implementation time.
Accuracy: The repair solutions will be based on the historic data, hence approved methodologies.
Extract information (data drivers) from relevant sheet metal, machining, assembly, tubes & pipes drawings using automation.
Augmented and Virtual