SAN FRANCISCO, Feb. 24, 2017 /PRNewswire/ -- Reaching a new milestone in its quest to achieve speed and scalability in indexing and exploiting vast amounts of video, IDENTV announced today the beta release of Neural Upscaling, its proprietary solution for dramatically enhancing image quality, allowing for significantly greater accuracy in object and facial recognition.
"This capability automates the process of enhancing quality of a degraded image and amplifies the original with 400% more detail thus enabling rapid detection and matching of objects and faces that was previously not possible at speed and scale," explained Mohamad Shihadah, founder and CEO of IDENTV.
Neural Upscaling is an integral part of IDENTV's pioneering Intelligent Video-fingerprinting Platform (IVP), a technology that combines artificial intelligence, machine learning, and computer vision in a highly integrated fashion to deliver high-speed visual content recognition and indexing.
Neural Upscaling has broad applications across commercial and national security applications and solves a critical limitation on video, faces, or objects that are degraded. IDENTV was recently selected as one of the Top 5 Artificial Intelligence companies in the DC area.
The company was founded three years ago with an understanding that video would become as pervasive as text. IDENTV leverages robust and mature machine learning and computer vision approaches to enable mission-critical, real-time video indexing and detection across massive amounts of video for media, military, and intelligence and law enforcement operations.
IDENTV leverages machine learning and artificial intelligence to transform the way the world searches and exploits massive video. With offices in San Francisco and Virginia, a global team of talented scientists and engineers, and clients in the Television, Media, and National Security domains, IDENTV is already recognized as an emerging market leader.
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