It can learn ambiguities and variations in real-time at high speed and immediately start matching.
The image-oriented fuzzy neural-equipped learning image recognition engine is a revolutionary image matching inspection system that can quickly learn ambiguities and variations in real-time, allowing for immediate matching without the need for cumbersome adjustments. For more details, please download the catalog.
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basic information
【Features】 ○ Provides the ability to detect only true defects even in images with variations. ○ Rapidly learns the ambiguity and variations of images in real-time, automatically creating optimal fuzzy rules for defect detection on a pixel-by-pixel basis. ○ Allows for easy learning with a small number of good product samples, enabling efficient and rapid variety registration even for small lots and diverse products. ○ Offers a function to accurately align the entire image using unique distortion correction technology, compensating for image stretching and irregular deformation. ○ Achieves high-sensitivity defect detection for images with local distortions by adding a distortion correction library to the learning-based defect detection library. ● For more details, please contact us or download the catalog.
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Company information
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. In conjunction with product development, we respond to various needs and challenges across different fields.
