Brian Dipert

Free Webinar Explores Compression Techniques For Running Deep Learning Networks on Constrained Hardware

On November 10, 2022 at 9 am PT (noon ET), Steve Teig, Founder and CEO of Perceive, will present the free one-hour webinar “Putting Activations on a Diet – Or Why Watching Your Weights Is Not Enough,” organized by the Edge AI and Vision Alliance. Here’s the description, from the event registration page: To reduce […]

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“Using Kubernetes to Speed Development and Deployment of Edge Computer Vision Applications,” a Presentation from Camio

Rakshit Agrawal, Vice President of Research and Development at Camio, presents the “Using Kubernetes to Speed Development and Deployment of Edge Computer Vision Applications” tutorial at the May 2022 Embedded Vision Summit. In this session, Agrawal presents real-world deployments of computer vision solutions using Kubernetes and shows how containerization enables continuous AI updates on a

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VISION Trade Fair: Fast-track OEM Serial Development with VC Embedded Vision Solutions

At the VISION trade fair in Stuttgart, Germany, Vision Components will premiere the miniaturized VC picoSmart 3D laser profile sensor. This versatile OEM component has been developed for fast-track design of economic, tailored 3D systems. It combines two tested and proven modules developed inhouse and matched for perfect results: the world’s smallest image processing system

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Edge AI and Vision Insights: August 17, 2022 Edition

LETTER FROM THE EDITOR Dear Colleague, Next Thursday, August 25 at 9 am PT, Intel will deliver the free webinar “Accelerating TensorFlow Models on Intel Compute Devices Using Only 2 Lines of Code” in partnership with the Edge AI and Vision Alliance. Are you using Google’s TensorFlow framework to develop your deep learning models? And

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“Open Standards: Powering the Future of Embedded Vision,” a Presentation from the Khronos Group

Neil Trevett, President of the Khronos Group and Vice President of Developer Ecosystems at NVIDIA, presents the “Open Standards: Powering the Future of Embedded Vision” tutorial at the May 2022 Embedded Vision Summit. Open standards play an important role in enabling interoperability for efficient deployment of vision-based systems. In this session, Trevett shares an update

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How to Annotate Your Images Using the MakeSense Tool

This blog post was originally published at Xailient’s website. It is reprinted here with the permission of Xailient. In this post, we will cover the details of annotating images using the MakeSense annotation tool. Imagine you just got an exciting project where you have to build a program to detect if a door is open

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“Fundamentals of Training AI Models for Computer Vision and Video Analytics Applications,” a Presentation from NVIDIA

Ekaterina Sirazitdinova, Data Scientist at NVIDIA, presents the “Fundamentals of Training AI Models for Computer Vision and Video Analytics Applications” tutorial at the May 2022 Embedded Vision Summit. AI has become an important component of computer vision and video analytics applications. But creating AI-based solutions is a challenging process. To build a successful product, it

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“Understanding DNN-Based Object Detectors,” a Presentation from Au-Zone Technologies

Azhar Quddus, Senior Computer Vision Engineer at Au-Zone Technologies, presents the “Understanding DNN-Based Object Detectors” tutorial at the May 2022 Embedded Vision Summit. Unlike image classifiers, which merely report on the most important objects within or attributes of an image, object detectors determine where objects of interest are located within an image. Consequently, object detectors

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Cameras, Lighting, Software and 3D-Vision: Basler Delivers Many Innovations at VISION 2022

Basler’s focus on performance and compatibility continues at the world’s leading machine vision trade fair.  Basler will present a broad,  fully coordinated suite of vision components and software tools designed to meet the needs of a wide range of applications. Ahrensburg, August 12, 2022 – “Accelerate your Vision” – this is the driving motto for

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Accelerating Innovation in Low Power AI Applications with Lattice FPGAs

This blog post was originally published at Lattice Semiconductor’s website. It is reprinted here with the permission of Lattice Semiconductor. On-device AI inference capability is expected to reach 60% of all devices by 2024, according to ABI Research. This underscores the rapid speed of AI innovation to take place in the last few years that

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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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