Upload a master image to serve as the standard for identifying defects. This baseline ensures consistent and accurate comparison across multiple defected images.
Employ advanced AI and machine learning algorithms to accurately identify defects. This technology enhances detection precision and reduces manual inspection efforts.
Obtain rapid analysis results for defected images, enhancing efficiency and decision-making. This ensures timely identification and resolution of issues.
Navigate through an intuitive interface designed for ease of use and efficiency. This allows users of all skill levels to easily manage and analyze images.
Handle multiple images and large datasets without compromising performance. This feature supports extensive inspection processes for large-scale operations.
View side-by-side comparisons of the master and defected images for better context. This feature aids in clear understanding and verification of defects.
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