We apply computational methods to solve the fundamental limitations of imaging hardware, such as sensor size, pixel density, or optical performance deficiencies. Our solutions enable both to introduce of new capabilities such as lossless zoom in smartphones and to improve existing use cases such as achieving better picture quality in near-eye displays.

Two main areas of our focus are:

  • Super-Resolution: image and video capture with resolution and SNR beyond the sensor pixel count, density, and size.
  • Digital Lens: dynamic optical aberrations correction, enabling high apparent resolution, no aberrations, and large eye box in VR/AR head-mounted displays. The technology overcomes fundamental constraints in HMD optical system design which are the overall system size and dynamic position of the eye pupil.

Our technologies are currently used in:

and soon will be used in:

  • Laptops: high picture quality with a smaller camera in a thin bezel
  • Surveillance, security, and automotive cameras: robust object recognition through higher-quality input image data
  • Drones, robots, and more

We utilize the advanced computational capabilities of modern chipsets, such as VLIW cores and NN accelerators to achieve ultra-high processing speed and low power consumption while keeping the best-in-class performance in terms of quality.

Digital Lens for Better Picture Quality in VR/AR Displays

Smartphone Camera Zoom at its Best

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