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 […]
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
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
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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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
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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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
Accelerating Innovation in Low Power AI Applications with Lattice FPGAs Read More +
Tom Michiels, System Architect for DesignWare ARC Processors at Synopsys, presents the “How Transformers are Changing the Direction of Deep Learning Architectures” tutorial at the May 2022 Embedded Vision Summit. The neural network architectures used in embedded real-time applications are evolving quickly. Transformers are a leading deep learning approach for natural language processing and other
Mohammad Haghighat, Senior AI Software Product Manager at Intel, presents the “Introduction to Computer Vision with Convolutional Neural Networks” tutorial at the May 2022 Embedded Vision Summit. This presentation covers the basics of computer vision using convolutional neural networks. Haghighat begins by introducing some important conventional computer vision techniques and then transitions to explaining the
This article was originally published at Teledyne FLIR’s website. It is reprinted here with the permission of Teledyne FLIR. There are various 3D sensor options for developing depth perception systems including, stereo vision with cameras, lidar, and time-of-flight sensors. Each option has its strengths and weaknesses. A stereo system is typically low cost, rugged enough
How to Build a Custom Embedded Stereo System for Depth Perception Read More +
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