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Solomon Machine Vision system - Solvision
Defect and pattern inspections with AI
AI enables Solvision to detect irregular patterns, defects, or features that are typically challenging for other conventional Automated Optical Inspection (AOI) systems.
Solvision offers a simple and intuitive tool to solve complex machine vision problems. The software, built on layers of advanced neural networks, is best used to recognize irregular patterns and features. Detecting defects such as
stains, scratches, burrs, cracks, identifying missing components or items, or sorting similar-looking objects are examples of applications easily manageable using Solvision.
Easy to learn and implement
Using Solvision to recognize defects or patterns simply requires labeling them, programming skill is not required. Solvision has a simple and intuitive user interface.
Export detection results
Machine builders and system integrators can easily send Solvision’s inspection results to their own software.
Recognize differences difficult for eyes to see
Subtle differences in colorations, contents, and appearances can be easily identified.
Learn from the good sample only
For inspections of objects with a highly consistent good sample, it’s possible to train with an only good sample instead of having to label individual defects.
Support robot pick and place
Inspection results can be sent to the robot for sorting the objects. The optional module supports twenty major robot brands.