EyeQ launches Perfectly Clear Video enhancement technology

GaryPageau ,

EyeQ Imaging Inc. launched Perfectly Clear Video, an AI video enhancement technology, into its global markets. Perfectly Clear Video uses artificial intelligence to automatically enhance videos in real-time and offers a new way to combat limitations businesses face such as low-quality cameras, bad lighting, and complex editing sliders. The company said the technology automatically applies the same types of adjustments that professional retouchers would do and can be integrated directly into any video pipeline.

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“The EyeQ team is very excited about unveiling our video enhancement technology at this time. Whether you’re a phone OEM, an application developer, or a webcam or video conference provider, Perfectly Clear Video delivers a powerful performance to enhance your video and amaze your customers,” said Brad Malcolm, EyeQ’s co-founder and CEO. “We’ve earned a leadership position in automatic image correction as we currently correct over 138 million photos per day for clients worldwide. We knew we could leverage the correction suite that we’ve developed to expand our reach into video enhancement and do so while the marketplace has a growing appetite for such enhancements. It’s time to say goodbye to video calls where our face is too dark to be seen because we’re sitting in front of a window or a blue sky!

Perfectly Clear Video uses machine learning to improve video quality in the following ways:

  • Providing light and color correction
  • Adding accurate color vibrancy
  • Removing tint
  • Powerfully recovering highlights
  • Creating better contour, depth, and color tone on faces
  • Vividly enhancing skies and foliage
  • Providing an exceptional exposure correction on any backlit videos

“Our AI Video correction applies the same types of adjustments that professional retouchers would do,” said Jeff Stephens, co-founder and Chief Technology Officer at EyeQ, adding how machine learning allows new automated solutions for problems that were previously impossible. The ability to do this in milliseconds allows us to solve some of the most difficult video enhancement problems in real-time such as detecting and then brightening the faces on a video conference, removing glaring tint from a selfie video in a low-light bar or restaurant, or gaining important detail out of surveillance footage. All this in a solution that can be embedded in IoT devices, run on servers, or deployed in desktop
or mobile applications,” noted Stephens.