Videos

“Dynamic Neural Accelerator and MERA Compiler for Low-latency and Energy-efficient Inference at the Edge,” a Presentation from EdgeCortix

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Sakyasingha Dasgupta, the founder and CEO of EdgeCortix, presents the “Dynamic Neural Accelerator and MERA Compiler for Low-latency and Energy-efficient Inference at the Edge” tutorial at the May 2021 Embedded Vision Summit. Achieving high performance and power efficiency for machine learning inference at the edge requires maintaining high chip utilization, even with a batch size […]

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How to Develop Deep Learning Applications Using the Intel Distribution of OpenVINO Toolkit

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This introductory video describes how you can accelerate AI workloads for computer vision, audio, speech, language, and recommendation systems using the Intel Distribution of OpenVINO toolkit. Watch this video to learn more about the self-paced video training series offered by Intel to help you advance your deep learning skills. The training series will take you

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“Using hxGraph and OpenCV to Implement Industrial Inspection Applications on the HyperX Processor,” a Presentation from Coherent Logix

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Eugene Mezhibovsky, Senior Systems Architect at Coherent Logix, presents the “Using hxGraph and OpenCV to Implement Industrial Inspection Applications on the HyperX Processor” tutorial at the May 2021 Embedded Vision Summit. hxGraph is a high-level tool that enables users to develop computer vision applications using the OpenCV APIs and then target the application to run

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“How to Optimize a Camera ISP with Atlas to Automatically Improve Computer Vision Accuracy,” a Presentation from Algolux

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Marc Courtemanche, Atlas Product Architect at Algolux, presents the “How to Optimize a Camera ISP with Atlas to Automatically Improve Computer Vision Accuracy” tutorial at the May 2021 Embedded Vision Summit. Computer vision (CV) works on images pre-processed by a camera’s image signal processor (ISP). For the ISP to provide subjectively “good” image quality (IQ),

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“A New Adaptive Module for Vision AI at the Edge,” a Presentation from Xilinx

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Chetan Khona, Director of the Industrial, Vision, Healthcare and Science Markets at Xilinx, presents the “New Adaptive Module for Vision AI at the Edge” tutorial at the May 2021 Embedded Vision Summit. Xilinx Kria System-on-Modules (SOMs) provide a secure, production-ready multi-core Arm and FPGA platform, including memories, power management, and Yocto or Ubuntu Linux to

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“Case Study: Facial Detection and Recognition for Always-On Applications,” a Presentation from Synopsys

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Jamie Campbell, Product Marketing Manager for Embedded Vision IP at Synopsys, presents the “Case Study: Facial Detection and Recognition for Always-On Applications” tutorial at the May 2021 Embedded Vision Summit. Although there are many applications for low-power facial recognition in edge devices, perhaps the most challenging to design are always-on, battery-powered systems that use facial

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“Visual AI at the Edge: From Surveillance Cameras to People Counters,” a Presentation from Synaptics

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Patrick Worfolk, Senior Vice President and CTO of Synaptics, presents the “Enabling Visual AI at the Edge: From Surveillance Cameras to People Counters” tutorial at the May 2021 Embedded Vision Summit. New AI-at-the-edge processors with improved efficiencies and flexibility are unleashing a huge opportunity to democratize computer vision broadly across all markets, enabling edge AI

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“TinyML Isn’t Thinking Big Enough,” a Presentation from Perceive

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Steve Teig, CEO of Perceive, presents the “TinyML Isn’t Thinking Big Enough” tutorial at the May 2021 Embedded Vision Summit. Today, TinyML focuses primarily on shoehorning neural networks onto microcontrollers or small CPUs but misses the opportunity to transform all of ML because of two unfortunate assumptions: first, that tiny models must make significant performance

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“Streamlining Development of Edge AI Applications,” a Presentation from NVIDIA

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Barrie Mullins, Director of Technical Product Marketing at NVIDIA, presents the “Streamlining Development of Edge AI Applications” tutorial at the May 2021 Embedded Vision Summit. Edge AI provides benefits for cost, latency, privacy, and connectivity. Developing and deploying optimized, accurate and effect AI on edge-based systems is a time-consuming, challenging and complex process. In this

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“Deploying an Autonomous Valet Parking Solution with Cameras Using AI,” a Presentation from Nextchip and VADAS

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James Kim, Marketing Team Leader at Nextchip, and Peter Lee, CEO of VADAS, co-present the “Deploying an Autonomous Valet Parking Solution with Cameras Using AI” tutorial at the May 2021 Embedded Vision Summit. In this talk, Nextchip’s Kim explains why his company targeted autonomous valet parking (AVP) with its newest APACHE6 SoC, and how Nextchip

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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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