Tom Curran, Senior Technical Marketing Engineer at Avnet, demonstrates the company’s latest edge AI and vision technologies and products at the 2022 Embedded Vision Summit. Specifically, Curran demonstrates Avnet’s new ZUBoard 1CG, a low-cost, flexible development platform for AMD’s new Zynq Ultrascale+ ZU1CG MPSoC device. The ZUBoard is running a face detection application, leveraging both […]
New RZ/V2MA MPU Features an OpenCV Accelerator for Image Processing and Offers TVM-based Deep Learning Compiler September 29, 2022 ― TOKYO, Japan ― Renesas Electronics Corporation (TSE: 6723), a premier supplier of advanced semiconductor solutions, has expanded its AI-capable RZ/V Series of microprocessors (MPUs), with a new device that enables AI processing of image data
Ken Weiner, Image Specialist at Arrow Electronics, demonstrates the latest image sensing products from partner onsemi at the 2022 Embedded Vision Summit. Specifically, Weiner demonstrates imaging solutions for embedded and edge applications, featuring onsemi’s broad portfolio of image sensing products. These plug-and-play camera modules based on onsemi image sensors offer compatibility with the popular 96boards
Henrik Flodell from the marketing team at Alif Semiconductor demonstrates the company’s latest edge AI and vision technologies and products in the Arrow Electronics booth at the 2022 Embedded Vision Summit. Specifically, Flodell demonstrates that machine learning on microcontrollers has come a long way by proving that Alif’s Ensemble family of MCU’s and Fusion processors
Koki Mitsunami and Ben Clark, Developer Advocates at Arm, demonstrate the company’s latest edge AI and vision technologies and products at the 2022 Embedded Vision Summit. Specifically, Mitsunami and Clark demonstrate machine learning on Arm technology. Mitsunami shows how to improve PyTorch performance with Android NNAPI, by demonstrating models running on a mobile device using
Arm Demonstration of Machine Learning Read More +
Stephen Su, Senior Product Manager at Arm, demonstrates the company’s latest edge AI and vision technologies and products at the 2022 Embedded Vision Summit. Specifically, Su demonstrates Arm’s upcoming Mali-ISP, developed for IoT, smart home and surveillance markets. A single ISP supports multi-camera and high dynamic range (HDR) implementations. The Mali-ISP IP is highly configurable,
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Vaibhav Ghadiok, Co-founder and Executive Vice President of Engineering at Hayden AI, presents the “Making Cities More Efficient with Computer Vision and Edge AI” tutorial at the September 2022 Edge AI and Vision Innovation Forum. Vaibhav Ghadiok is an engineering leader with a track record of productizing robotics technology. He has 15+ years of experience
Umair Hashim, Principal Solutions Engineer at Arm, demonstrates the company’s latest edge AI and vision technologies and products at the 2022 Embedded Vision Summit. Specifically, Hashim demonstrates how Arm is investing its hardware and software ecosystem to lower the software development effort required for IoT solutions deployment. Programs like SystemReady enable deployment of the same
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Jasvinder Khurana, Staff System Design Engineer at AMD, demonstrates the company’s latest edge AI and vision technologies and products at the 2022 Embedded Vision Summit. Specifically, Khurana demonstrates the Kria Robotics Perception stack application. The demonstrated ROS 2 Perception Node-accelerated application implements a subset of image_pipeline, which is one of the most popular packages in
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Quenton Hall, Senior Technical Marketing Manager for AI and ML at AMD, demonstrates the company’s latest edge AI and vision technologies and products at the 2022 Embedded Vision Summit. Specifically, Hall demonstrates the company’s Kria App Store. The Kria App Store offers a powerful platform to host and market your unique edge applications, algorithms, and
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