Summit

Horizon Robotics Demonstration of Its Autonomous Driving Platform Powered by Its Embedded AI Chip

Horizon Robotics, Summit 2018, Videos /

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 autonomous driving computing platform, Matrix, based on Horizon Robotics’ self-developed embedded AI processor architecture, BPU2.0. Matrix has powerful perceptual computing capability and can provide high-performance sensing system for L4 autonomous […]

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Horizon Robotics Demonstration of Its Smart City Solution Powered by Its Embedded AI Chip

Horizon Robotics, Summit 2018, Videos /

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

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Horizon Robotics Demonstration of Its Smart Retail Solution Powered by Its Embedded AI Chip

Horizon Robotics, Summit 2018, Videos /

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

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Boulder AI Demonstration of Its GPU-enabled DNNCam (Deep Neural Network Camera)

Edge AI and Vision Alliance, Summit 2018, Videos /

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

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NXP Semiconductors Demonstration of Deep Learning-based Multi-object Detection Using S32V234 Vision Processor

NXP Semiconductors, Summit 2018, Videos /

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

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NXP Semiconductors Demonstration of Optimized Performance and Memory Utilization for Object Detection on i.MX RT

NXP Semiconductors, Summit 2018, Videos /

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

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AImotive Scales Toward Productization of Self-Driving Technology

AImotive, Summit 2018, Videos /

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

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Intel Demonstration of Scalable Deep Learning-based Face Detection and Recognition with FPGAs

Intel, Summit 2018, Videos /

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

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Intel Demonstration of High Performance Vision Deployment – The OpenVINO Toolkit in Action

Intel, Summit 2018, Videos /

Soren Knudsen, Video and Software Ecosystem Accelerant at Intel, delivers a product demonstration at the May 2018 Embedded Vision Summit. Specifically, Knudsen demonstrates how you can get top performance for vision solutions using Intel’s OpenVINO™ toolkit (open visual inference and neural network optimization), part of the Intel® Vision Products portfolio. View heterogeneous workload performance across

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Intel Demonstration of Flexible Options to Speed Vision Workloads – A Heterogeneous Approach

Intel, Summit 2018, Videos /

Jeffrey McAllister, Technical Consulting Engineer at Intel, delivers a product demonstration at the May 2018 Embedded Vision Summit. Specifically, McAllister demonstrates how with Intel’s OpenVINO™ toolkit, (open visual inference and neural network optimization), you can boost workload performance with easy heterogeneous execution across multiple types of Intel® platforms (CPU, CPU with integrated graphics, FPGAs, and

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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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