It can learn ambiguities and variations in real-time at high speed and immediately start matching.
The real-time image learning/matching inspection system equipped with fuzzy neural technology is a groundbreaking image matching inspection system that can quickly learn ambiguities and variations in real-time, allowing immediate matching to begin without the need for cumbersome adjustment work. For more details, please download the catalog.
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basic information
**Features** - Automatically extracts necessary image features for inspection from inspection image data. - Capable of detecting defects that were difficult to identify with conventional methods due to a special optical system. - Automatically learns inspection criteria (neuro technology). - Enables inspection that takes advantage of ambiguity (fuzzy technology). - Can accurately extract defects by suppressing pseudo-defects through distortion correction. - In addition to visualization imaging technology, detection of previously undetectable defects such as streak defects, color unevenness defects, and fogging defects is possible through image enhancement and noise reduction technology. For more details, please contact us or download the catalog.
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We possess a variety of advanced foundational technologies such as AI, knowledge management, web intelligence, voice and image processing technologies, VoIP, and SIP, and hold numerous patents both domestically and internationally, in addition to filing many patent applications. Utilizing these technologies, along with the know-how gained from development and operations and our unique creativity, we propose beneficial solutions that also capture the needs of the next generation. Alongside product development, we respond to various needs and challenges across different fields.
![[Data] Collaboration of Optical Measurement and Image Processing](https://image.www.ipros.com/public/product/image/16f/2001506799/IPROS84778458676664158509.png?w=280&h=280)
