[Data] Detection of Concrete Cracks

Detection of Concrete Cracks Using Machine Learning and RAW with Ultra-High-Definition Images

This document discusses the detection of concrete cracks using machine learning and ultra-high-definition images obtained from RAW data. By processing RAW data output from commercially available digital cameras through techniques such as restoration and synthesis using machine learning, we can enhance the detection accuracy of concrete cracks by producing high-definition images that are undistorted, similar to human vision. [Contents (excerpt)] ■ Introduction ■ Image processing using machine learning ■ Super Resolution Stepless Zoom technology ■ Keep Resolution Mapping for geometric transformation ■ Optical Learning for aberration restoration *For more details, please refer to the PDF document or feel free to contact us.

Image analysis softwareOther image-related equipment