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"Flying One" is a RAW camera that is well-suited for drones. With a fisheye lens that has a deep depth of field, no focus is needed. It has an angle of view of over 180 degrees, so no composition adjustment is necessary. Additionally, it records the space as it is, making it suitable for capturing fast-moving sports. 【Features】 ■ Simple structure - Compact, lightweight, low power consumption, high quality, low price ■ Fisheye lens - No need for focus, composition adjustment, or gimbals, resulting in fewer retakes ■ Uncompressed RAW - High quality due to reduced AI super reconstruction *For more details, please refer to the PDF document or feel free to contact us.
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Free membership registration"Optical Learning (R)" is a technology that performs optical simulations based on lens design data and restores images to be free of aberrations by learning from the results. It achieves image quality comparable to professional codecs (based on SN standards). This also leads to reduced burden in lens design and cost savings. 【Features】 ■ Patent No. 6164564 ■ Restores all aberrations and distortions caused by MTF in wide-angle lenses, fisheye lenses, endoscopes, etc. ■ Effective for image processing in stitching, CG, VR, image recognition, and more. *For more details, please download the PDF or feel free to contact us.
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Free membership registration"AIRD (Artificial Intelligence Retina Development, formerly Phase Shift Development)" is a super-resolution RAW development technology using machine learning. It is suitable for RAW development for Optical Learning. It eliminates zipper noise and removes blur caused by optical LPF and diffraction. Additionally, it prevents the occurrence of false colors and improves the resolution of red, blue, green, and monochrome, reducing artifacts such as jaggies. 【Features】 ■ Suitable for RAW development for Optical Learning ■ Removes blur caused by optical LPF and diffraction ■ Reduces sensor noise ■ Minimizes the emphasis on demosaicing degradation *For more details, please refer to the PDF document or feel free to contact us.
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Free membership registration"Keep Resolution Mapping (Super Resolution Geometric Transformation)" is a unique technology that performs geometric transformations without reducing resolution using machine learning. "Super Resolution Stepless Zoom" is a continuous electronic zoom utilizing machine learning.
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Free membership registration"Visual Sharpness" is a sharpness feature that changes only the tilt without adding edges, based on a visual model.
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Free membership registrationBy combining distance measurement methods such as stereo cameras with Optical Learning, we create images that capture both distant and close subjects like the human eye. - To increase the depth of field, we cannot optically enlarge the image sensor. - The aperture ratio of the image sensor, even with back-illuminated types, has reached its limit. - The only way to design a camera that has a deep depth of field and high sensitivity while being easy to use is through this approach. - Visual AI achieves an ideal pan-focus with a high amount of information.
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Free membership registrationThis document discusses the detection of concrete cracks using machine learning and ultra-high-definition images obtained from RAW data. By processing RAW data output from commercially available digital cameras through techniques such as restoration and synthesis using machine learning, we can enhance the detection accuracy of concrete cracks by producing high-definition images that are undistorted, similar to human vision. [Contents (excerpt)] ■ Introduction ■ Image processing using machine learning ■ Super Resolution Stepless Zoom technology ■ Keep Resolution Mapping for geometric transformation ■ Optical Learning for aberration restoration *For more details, please refer to the PDF document or feel free to contact us.
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