Su Li, Senior Technical Account Manager at Horizon Robotics, delivers a product demonstration at the May 2018 Embedded Vision Summit. Specifically, Li demonstrates the company’s smart city solution using a surveillance video analytic system. Based on the Sunrise AI processor, an embedded AI computer vision chip developed by the company, Horizon Robotics uses a cutting-edge […]
Pavan Kumar, Co-founder and CTO at Cocoon Cam, delivers the presentation "Harnessing Cloud Computer Vision In a Real-time Consumer Product," at the Embedded Vision Alliance's September 2018 Vision Industry and Technology Forum. Kumar explains how his successful start-up is using edge and cloud vision computing to bring amazing new capabilities to the previously stagnant product
Su Li, Senior Technical Account Manager at Horizon Robotics, delivers a product demonstration at the May 2018 Embedded Vision Summit. Specifically, Li demonstrates the company’s smart retail solution using an AI-based face recognition camera, which can capture a maximum of 200 faces per frame, detect at 1080p full-frame rate and identify the age and gender
Darren Odom, CEO of Boulder AI, delivers a product demonstration at the May 2018 Embedded Vision Summit. Specifically, Odom demonstrates DNNCam, an intelligent GPU-enabled deep-learning neural network camera that is waterproof, dust-proof and runs AI algorithms at the image source. The Boulder AI edge camera executes AI/machine learning frameworks and computer vision algorithms without additional
Boulder AI Demonstration of Its GPU-enabled DNNCam (Deep Neural Network Camera) Read More +
Ali Osman Ors, Director of AI Strategy and Partnerships for Automotive at NXP Semiconductors, delivers a product demonstration at the May 2018 Embedded Vision Summit. Specifically, Ors demonstrates deep learning-based multi-object detection based on MobileNet and Single Shot Detector (SSD) running in real-time on the embedded automotive-grade S32V234 Vision SoC, with the capability of detecting
Markus Levy, Director of Enabling Technologies at NXP Semiconductors, delivers a product demonstration at the May 2018 Embedded Vision Summit. Specifically, Levy demonstrates the i.MX RT architecture, which represents the convergence of low-power application processors and high-performance microcontrollers. This particular demo shows the i.MX RT1050 MCU, which is based on a 600MHz Arm® Cortex®-M7 core
Jie Liu, Visual Intelligence Architect in the Cloud and AI Platforms Group at Microsoft, delivers the presentation "Outside-In Autonomous Systems" at the Embedded Vision Alliance's September 2018 Vision Industry and Technology Forum. Liu shares his company's vision for smart environments that observe and understand space, people and things.
“Outside-In Autonomous Systems,” a Presentation from Microsoft Read More +
LETTER FROM THE EDITOR Dear Colleague, The Embedded Vision Alliance is performing research to better understand what types of technologies are needed by product developers who are incorporating computer vision in new systems and applications. To help guide suppliers in creating the technologies that will be most useful to you, please take a few minutes
Embedded Vision Insights: November 1, 2018 Edition Read More +
Ferenc Pintér, Head of Software at AImotive, provides a company update at the May 2018 Embedded Vision Summit. Specifically, Pintér explains how AImotive‘s technological approach and development pipeline support the creation of scalable autonomous solutions. After discussing the fundamental effect of simulation of self-driving development, Pintér introduces aiSim and aiWare, two AImotive technologies and winners
AImotive Scales Toward Productization of Self-Driving Technology Read More +
Richard Chuang, Global Platform Solutions Architect at Intel, delivers a product demonstration at the May 2018 Embedded Vision Summit. Specifically, Chuang demonstrates an end-to-end face detection and recognition reference solution using the OpenVINO toolkit. Four primary algorithms are running in this demo system on top of OpenVINO: face detection, landmark detection, feature extraction, and face
Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.
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