Summit

AMD Demonstration of Kria Machine Vision

Drew Emery, Technical Sales Engineer at AMD, demonstrates the company’s latest edge AI and vision technologies and products at the 2022 Embedded Vision Summit. Specifically, Emery demonstrates one of the applications included with the Kria KR260 Robotics Starter Kit. The application implements an industrial camera design using a Sony IMX SLVS-EC sensor and the widely […]

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Zeblok Computational Demonstration of Autonomous Multi-cloud to Edge ML DevOps

Mouli Narayanan, Founder and CEO of Zeblok Computational, demonstrates the company’s latest edge AI and vision technologies and products in Intel’s booth at the 2022 Embedded Vision Summit. Specifically, Narayanan demonstrates a series of AI-MicroCloud workflows geared for enterprise architects, ML modelers, and ML Ops to improve automation in curating AI assets and disseminating optimized

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Vy Corporation Demonstration of Faster Convergence Using Understandable AI

John Freyhof, CEO of Vy Corporation, demonstrates the company’s latest edge AI and vision technologies and products in Intel’s booth at the 2022 Embedded Vision Summit. Specifically, Freyof demonstrates the solution to a real-world problem of detecting a sub-surface mine in a very low signal-to-noise environment, and how the same approach can be applied to

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Thundersoft Demonstration of Its Turbo X EB4 Edge AI Box

Paul Peng, Senior Director of Sales and Business Development at Thundersoft, demonstrates the company’s latest edge AI and vision technologies and products in Intel’s booth at the 2022 Embedded Vision Summit. Specifically, Peng demonstrates the company’s Turbo X EB4 Edge AI Box. Thundersoft’s EB4 Edge AI Box is an edge computing device that can provide

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Flex Logix Demonstration of the InferX X1M M.2 Card Running Multi-camera Object Detection

Salvador Alvarez, director of solutions architecture at Flex Logix Technologies, demonstrates the company’s latest edge AI and vision technologies and products at the 2022 Embedded Vision Summit. Specifically, Alvarez demonstrates the InferX X1M AI accelerator running a real-time multi-camera object detection algorithm in a small form factor NUC system. The X1M accelerator is implemented on

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Flex Logix Demonstration of the InferX X1P1 Running Hardhat Detection with High Speed and Accuracy

Salvador Alvarez, director of solutions architecture at Flex Logix Technologies, demonstrates the company’s latest edge AI and vision technologies and products at the 2022 Embedded Vision Summit. Specifically, Alvarez demonstrates the InferX X1 AI accelerator running a real-time high-resolution hardhat detection algorithm on the X1P1 PCIe accelerator in a standard industrial PC system. The X1P1

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Edge Impulse Demonstration of Wildlife Monitoring with Sony Spresense

Jenny Plunkett, Senior Developer Relations Engineer at Edge Impulse, demonstrates the company’s latest edge AI and vision technologies and products at the 2022 Embedded Vision Summit. Specifically, Plunkett demonstrates a machine learning-powered system on the Sony Spresense platform that can identify when an animal or car is in frame of the camera. This application can

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Edge Impulse Demonstration of Screw and Washer Detection with FOMO

Jenny Plunkett, Senior Developer Relations Engineer at Edge Impulse, demonstrates the company’s latest edge AI and vision technologies and products at the 2022 Embedded Vision Summit. Specifically, Plunkett demonstrates Edge Impulse’s FOMO algorithm. In this demo, Jenny runs a FOMO model on the Himax WE-I Plus board for real-time screw and washer detection along a

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Edge Impulse Demonstration of Face Detection with FOMO and Alif Semiconductor’s Ensemble MCU

Shawn Hymel, Developer Relations Engineer at Edge Impulse, demonstrates the company’s latest edge AI and vision technologies and products at the 2022 Embedded Vision Summit. Specifically, Hymel demonstrates how to use Edge Impulse’s ground-breaking FOMO algorithm for real-time face detection. The demo runs live inference on an Alif Semiconductor Ensemble board, which combines an Arm

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“Unifying Computer Vision and Natural Language Understanding for Autonomous Systems,” a Presentation from Verizon

Mumtaz Vauhkonen, Lead Distinguished Scientist and Head of Computer Vision for Cognitive AI in AI&D at Verizon, presents the “Unifying Computer Vision and Natural Language Understanding for Autonomous Systems” tutorial at the May 2022 Embedded Vision Summit. As the applications of autonomous systems expand, many such systems need the ability to perceive using both vision

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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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Berkeley Design Technology, Inc.
PO Box #4446
Walnut Creek, CA 94596

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Phone: +1 (925) 954-1411
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