Eyeris Wins TU-Automotive Award
Summary
PALO ALTO, Calif., June 13, 2017 /PRNewswire/ -- Eyeris, a world pioneer and leader in deep learning-based vision AI for face analytics and emotion recognition software won the 2017 TU-Automotive Award for Best Connected Service or Product for Commercial Market. TU Award winners are determined by a panel of high-level experts and are chosen based on four criteria: innovation, industry engagement, user experience and market updates. Eyeris was nominated as a finalist of the TU Automotive Awards three years in a row beginning in 2015, one year after Eyeris began to cater its comprehensive face analytics and emotion recognition software for embedded systems to automotive manufacturers in their quest to augment advanced driver assistance systems (ADAS) for highly automated vehicles (HAVs). The companys computer vision AI is hardware agnostic and offers the worlds most advanced and most comprehensive suite of face analytics with its on-device and cloud-based processing solutions. Headquartered in Palo Alto, Calif., the companys R&D lab in San Jose focuses on software optimization and customization of its deep learning models to specific applications and environments such as driver and occupant monitoring AI for autonomous and semi-autonomous vehicles and human-robot interaction for social robotics.
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