Jin Kim of Samsung Electronics delivers the presentation "Memory Innovation for Embedded Vision Systems" at the February 2017 Embedded Vision Alliance Member Meeting. Kim explains the memory needs of embedded vision applications, and the latest solutions available to meet those needs.
“Memory Innovation for Embedded Vision Systems,” a Presentation from Samsung Electronics Read More +
Martin Lass, Marketing Manager for 3D Imaging at Infineon Technologies, demonstrates the company's latest embedded vision technologies and products at the January 2017 Consumer Electronics Show. Specifically, Lass demonstrates the capabilities of the world's first two Project Tango-based smartphones, the Lenovo Phab 2 Pro and Asus Zenfone AR. Both phones rely on the company's REAL3
Infineon Technologies Demonstration of Project Tango Smartphones Read More +
Arun Chhabra of 8tree delivers the presentation "Designing Vision Systems for Human Operators and Workflows" at the February 2017 Embedded Vision Alliance Member Meeting. Chhabra explains how his company is deploying computer vision to enhance existing workflows in industries such as aircraft maintenance.
“Designing Vision Systems for Human Operators and Workflows,” a Presentation from 8tree Read More +
Martin Lass, Marketing Manager for 3D Imaging at Infineon Technologies, demonstrates the company's latest embedded vision technologies and products at the January 2017 Consumer Electronics Show. Specifically, Lass demonstrates a ToF depth sensor-based driver monitoring solution. Based on the company's REAL3 time-of-flight imager, this driver monitoring solution provides robust depth and amplitude data to detect
Carter Maslan and Luca de Alfaro of Camio deliver the presentation "Combining Cloud and Edge Machine Learning to Deliver the Future of Video Monitoring" at the February 2017 Embedded Vision Alliance Member Meeting. Maslan and de Alfaro present their company's approach to using machine learning at the edge and in the cloud to deliver more
Brooke Williams, Business Manager in the Automotive ADAS Business Unit at Texas Instruments, demonstrates the company's latest embedded vision technologies and products at the January 2017 Consumer Electronics Show. Specifically, Williams provides an overview of the company's ADAS program and TDA processor product line, along with a demonstration of partner Hella Aglaia’s front camera- and
Texas Instruments Program Overview and Demonstration of a Front Camera ADAS Solution Read More +
Jon Peddie of Jon Peddie Research delivers the presentation "Embedded Vision in Augmented Reality: Trends and Opportunities" at the February 2017 Embedded Vision Alliance Member Meeting. Peddie presents highlights of his firm’s recent research on opportunities and challenges for embedded vision in augmented reality.
Brooke Williams, Business Manager in the Automotive ADAS Business Unit at Texas Instruments, demonstrates the company's latest embedded vision technologies and products at the January 2017 Consumer Electronics Show. Specifically, Williams demonstrates camera and radar fusion using the company'’s TDA3 processor. Learn how to enable the fusion of multiple sensor modalities to increase safety and
Texas Instruments Demonstration of Camera and Radar Fusion Read More +
Chris Rowen of Cognite Ventures delivers the presentation "The Vision AI Start-ups That Matter Most" at the February 2017 Embedded Vision Alliance Member Meeting. Rowen shares his unique perspective on the vision AI start-ups that matter most.
“The Vision AI Start-ups That Matter Most,” a Presentation from Cognite Ventures Read More +
Brooke Williams, Business Manager in the Automotive ADAS Business Unit at Texas Instruments, demonstrates the company's latest embedded vision technologies and products at the January 2017 Consumer Electronics Show. Specifically, Williams demonstrates driver identification and monitoring from partner (and fellow Embedded Vision Alliance member) FotoNation, using TI’s TDA3 processor. Fotonation, an expert in computational imaging,
Texas Instruments Demonstration of Driver Identification and Monitoring Read More +
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