automotive customer
Kneron Acquires OTUS in a Move to Accelerate Autonomous Vehicle Applications
Leading full-stack edge AI company Kneron announces its acquisition of OTUS, a subsidiary of VIVOTEK (a Delta Group company). OTUS is a camera and imaging solutions provider specializing in applications for automotive, virtual reality, as well as other panoramic scenarios. Over the past two years, the company has worked closely with Kneron to jointly commercialize several automotive applications. As a vehicle solutions provider, OTUS has experienced over the past few years substantial business expansion as well as strong customer stickiness due to the high growth trajectory of automotive markets. The company provides ADAS and DMS functions such as road object detection and driver behavior monitoring.
New enhanced driver assistant system and safety using Deep Learning - ELE Times
QuEST Global, a global product engineering and lifecycle services company, will demonstrate Deep Learning driven Advanced Driver Assistance Systems (ADAS) at CES (Consumer Electronic Show) 2020. The deep learning models developed by QuEST Global aim to enhance ADAS by improving the accuracy in detection of traffic signs, pedestrians and traffic. This enhanced ADAS will be demonstrated at Booth # 1909, Westgate Pavilion. The ADAS demo has been developed by training deep learning models using synthetic data representing various environmental conditions and terrains. Such deep learning driven ADAS are 25% more accurate than the ones developed using classic image processing techniques.
QuEST Global to Demonstrate Enhanced Driver and Vehicle Safety Using Deep Learning at CES 2020
QuEST Global, a global product engineering and lifecycle services company, will demonstrate Deep Learning driven Advanced Driver Assistance Systems (ADAS) at CES (Consumer Electronic Show) 2020. The deep learning models developed by QuEST Global aim to enhance ADAS by improving the accuracy in detection of traffic signs, pedestrians and traffic. This enhanced ADAS will be demonstrated at Booth # 1909, Westgate Pavilion. The ADAS demo has been developed by training deep learning models using synthetic data representing various environmental conditions and terrains. Such deep learning driven ADAS are 25% more accurate than the ones developed using classic image processing techniques.
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