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  6. Depth of field control technology using machine learning: 'Visual AI'

Depth of field control technology using machine learning: 'Visual AI'

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last updated:Aug 02, 2020

リアロップ 本社
リアロップ 本社
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"Visual AI" is a depth of field control technology that uses machine learning to capture images both far and near, similar to the human eye.

By 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.

    Color cameralensImage Processing Equipment
visual_ai_1.png

Depth of field control technology using machine learning: 'Visual AI'

visual_ai_1.png
visual_ai_1.png
  • Related Link - https://realop.co.jp/technology.html#visual_ai

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People measure distance with both eyes and change their resolution with their brains to see both far and near, right? This mechanism has been realized through machine learning in 'Visual AI'.

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Drones and lamellae for construction and civil engineering can capture images with a deep depth of field even in dark places.

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Depth of field control technology using machine learning: 'Visual AI'

Depth of field control technology using machine learning: 'Visual AI'

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リアロップ

リアロップ 本社

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Realop Inc. provides licensing of intellectual property related to image processing (such as our Optical Learning® technology), software development and sales, and technical consulting services. We support our partner companies by offering differentiated technologies related to image processing, thereby enhancing their product capabilities and increasing their revenue. With years of experience, we develop learning-based super-resolution algorithms that take into account the characteristics of hardware and GPUs, so please feel free to contact us if you have any requests.

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