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Solvision draws on state-of-the-art deep learning technologies to solve common machine vision problems, such as detection of features, defects, and patterns. Programming code is unnecessary.
This intuitive, human-like approach requires only the input of image samples for the machine to learn to recognize irregular patterns or features by itself, which remains a challenging task for traditional inspection systems.
Solvision comes in two modes of learning: supervised and unsupervised. When in supervised mode, each defect type needs to be identified and trained. While in unsupervised mode, Solvison needs to be shown only the golden sample, and it will be able to identify the differences in inspected objects.
※ Advantages:
1. Five powerful functions in one software package.
2. Engineering knowledge not required to handle the software.
3. Powerful toolsets simplify processes and improve results.
4. Easy integration with robots and PLCs.
5. Ability to learn from just defect-free samples.
