首页|New Machine Learning Data Has Been Reported by a Researcher at Cranfield Univers ity (Aircraft Skin Machine Learning-Based Defect Detection and Size Estimation i n Visual Inspections)
New Machine Learning Data Has Been Reported by a Researcher at Cranfield Univers ity (Aircraft Skin Machine Learning-Based Defect Detection and Size Estimation i n Visual Inspections)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on artificial intelligenc e is the subject of a new report. According to news reporting originating from B edford, United Kingdom, by NewsRx correspondents, research stated, "Aircraft mai ntenance is a complex process that requires a highly trained, qualified, and exp erienced team." Funders for this research include British Engineering And Physics Sciences Resea rch Council; Boeing Company. Our news correspondents obtained a quote from the research from Cranfield Univer sity: "The most frequent task in this process is the visual inspection of the ai rframe structure and engine for surface and sub-surface cracks, impact damage, c orrosion, and other irregularities. Automated defect detection is a valuable too l for maintenance engineers to ensure safety and condition monitoring. The propo sed approach is to process the captured feedback using various deep learning arc hitectures to achieve the highest performance defect detections. AdditionAlly, a n algorithm is proposed to estimate the size of the detected defect. The team co llaborated with TUI's Airline Maintenance Team at Luton Airport, Allowing us to fly a drone inside the hangar and use handheld cameras to collect representative data from their aircraft fleet. After a comprehensive dataset was constructed, multiple deep-learning architectures were developed and evaluated."
Cranfield UniversityBedfordUnited Ki ngdomEuropeCyborgsEmerging TechnologiesMachine Learning
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