This blog post was originally published at Hailo’s website. It is reprinted here with the permission of Hailo. When choosing an object detection network for edge devices, there are many factors you should consider: compute power, memory resources, and many more. Which ones? This blog post outlines everything you need to know when choosing an […]
Object Detection on the Edge: Making the Right Choice Read More +
Amol Borkar, Director of Product and Marketing for Vision and AI DSPs at Cadence Tensilica, demonstrates the company’s latest edge AI and vision technologies and products at the 2022 Embedded Vision Summit. Specifically, Borkar demonstrates Xvisio’s highly accurate 3D camera position and tracking using Visual SLAM (VSLAM), implemented on a customer’s platform and featuring the
Cadence Demonstration of Real-time Visual SLAM for Embedded Devices Read More +
Vaida Jasulaityte, Business Development Executive at Visidon, demonstrates the company’s latest edge AI and vision technologies and products in Business Oulu’s booth at the 2022 Embedded Vision Summit. Specifically, Jasulaityte demonstrates the company’s video enhancement technologies. Jasulaityte shows Visidon’s deep learning algorithms, which have been ported to and optimized for Inuitive’s NU4000 SoC in order
Visidon Demonstration of Depth Estimate and Bokeh for Video Conferencing Read More +
Petri Talala, Vice President and General Manager at Unikie, demonstrates the company’s latest edge AI and vision technologies and products in Business Oulu’s booth at the 2022 Embedded Vision Summit. Specifically, Talala demonstrates an AI-enabled real-time situational awareness solution. Talala demonstrates how software-based edge AI, sensor fusion and a secure connectivity platform can together create
Unikie Demonstration of AI-enabled Real-time Situational Awareness and Smart Spaces Read More +
This article was originally published at Hasty’s website. It is reprinted here with the permission of Hasty. As the ML space is maturing, processes and best practices for what happens after you successfully manage a first project launch are becoming more popular. In this article, we are going through the concept of a data flywheel
Implementing the Data Flywheel Read More +
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 +
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
On December 13, 2022 at 9 am PT (noon ET), Yonatan Geifman, Co-founder and CEO of Deci, will present the free hour webinar “How to Successfully Deploy Deep Learning Models on Edge Devices,” organized by the Edge AI and Vision Alliance. Here’s the description, from the event registration page: The introduction of powerful processors, memories
Free Webinar Explores How to Successfully Deploy Deep Learning Models on Edge Devices Read More +
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
Edge Impulse Demonstration of Screw and Washer Detection with FOMO Read More +
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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