Smart Camera Tech Improves Object Recognition In Poor Lighting

Ben-Gurion University of the Negev (BGU) researchers have developed Light Invariant Video Imaging (LIVI) software technology that they claim will significantly improve picture clarity in sub-optimal lighting and enhance object recognition. As per the researchers, the software will enhance many smart camera applications, including facial recognition and augmented reality.

 

The LIVI technology increases camera functionality by eliminating the effects of background or dynamic lighting conditions, thereby delivering shadow-free images with constant color output and improved contrast. The software relies on amplitude-modulated (AM) light separation, similar, in principle, to AM radio communication. This enables cameras to separate the influence of a modulated light from unwanted light sources in the scene, causing the AM video camera frame to appear the same, independent of the light conditions in which it was taken.

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The video analytics market is most likely the first market in which the technology will be integrated. The global video analytics market is projected to reach $11.17 billion by 2022 according to a Markets and Markets report published in April 2017. The recreational smartphone market represents another major opportunity, as more smartphones become equipped with facial recognition security.

 

If seeing is believing, checkout a LIVI tech video demonstration. For more details, visit American Associates, Ben-Gurion University of the Negev (AABGU).

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