Summit

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

Neil Trevett, Vice President of Developer Ecosystems at NVIDIA and President of the Khronos Group, presents the “Khronos Group Standards: Powering the Future of Embedded Vision” tutorial at the May 2021 Embedded Vision Summit. Open standards play an important role in enabling interoperability for faster, easier deployment of vision-based systems. With advances in machine learning, […]

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“Tools and Strategies for Quickly Building Effective Image Datasets,” a Presentation from BDTI

Evan Juras, Computer Vision Engineer at BDTI, presents the “Tools and Strategies for Quickly Building Effective Image Datasets,” tutorial at the May 2021 Embedded Vision Summit. A common pain point when using machine learning for computer vision is the need to manually curate and label large quantities of training images. Depending on the application, thousands

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“Automated Neural Network Model Training: The Impact on Deploying and Scaling ML at the Edge,” a Presentation from Arm

Tim Hartley, Vice President of Product and Marketing at SeeChange Technologies (an Arm company), presents the “Automated Neural Network Model Training: The Impact on Deploying and Scaling ML at the Edge” tutorial at the May 2021 Embedded Vision Summit. Neural networks are being used to solve an ever-increasing number of use cases, elevating the importance

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“IoT and Vision: Why It’s a Security Minefield and How to Navigate It,” a Presentation from Arm

Dr. Lyndon Fawcett, Principal Software Security Architect at Arm, presents the “IoT and Vision: Why It’s a Security Minefield and How to Navigate It” tutorial at the May 2021 Embedded Vision Summit. Recent advancements in machine learning have enabled market innovators to build insights from IoT sensors in the wild. These insights can be used

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“Robust Object Detection Under Dataset Shifts,” a Presentation from Arm

Partha Maji, Principal Research Scientist at Arm’s Machine Learning Research Lab, presents the “Robust Object Detection Under Dataset Shifts” tutorial at the May 2021 Embedded Vision Summit. In image classification tasks, the evaluation of models’ robustness to increased dataset shifts with a probabilistic framework is very well studied. However, object detection (OD) tasks pose other

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“Using LAON PEOPLE’s AI Machine Vision Tools to Develop Manufacturing Inspection Solutions,” a Presentation from LAON PEOPLE

Henry Sang, Director of Business Development at LAON PEOPLE, presents the “Using LAON PEOPLE’s AI Machine Vision Tools to Develop Manufacturing Inspection Solutions” tutorial at the May 2021 Embedded Vision Summit. Detecting defects in parts and products is a common need in manufacturing. Sang shows how to use LAON PEOPLE’s AI machine vision tools to

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“Dynamic Neural Accelerator and MERA Compiler for Low-latency and Energy-efficient Inference at the Edge,” a Presentation from EdgeCortix

Sakyasingha Dasgupta, the founder and CEO of EdgeCortix, presents the “Dynamic Neural Accelerator and MERA Compiler for Low-latency and Energy-efficient Inference at the Edge” tutorial at the May 2021 Embedded Vision Summit. Achieving high performance and power efficiency for machine learning inference at the edge requires maintaining high chip utilization, even with a batch size

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“Using hxGraph and OpenCV to Implement Industrial Inspection Applications on the HyperX Processor,” a Presentation from Coherent Logix

Eugene Mezhibovsky, Senior Systems Architect at Coherent Logix, presents the “Using hxGraph and OpenCV to Implement Industrial Inspection Applications on the HyperX Processor” tutorial at the May 2021 Embedded Vision Summit. hxGraph is a high-level tool that enables users to develop computer vision applications using the OpenCV APIs and then target the application to run

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“How to Optimize a Camera ISP with Atlas to Automatically Improve Computer Vision Accuracy,” a Presentation from Algolux

Marc Courtemanche, Atlas Product Architect at Algolux, presents the “How to Optimize a Camera ISP with Atlas to Automatically Improve Computer Vision Accuracy” tutorial at the May 2021 Embedded Vision Summit. Computer vision (CV) works on images pre-processed by a camera’s image signal processor (ISP). For the ISP to provide subjectively “good” image quality (IQ),

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“A New Adaptive Module for Vision AI at the Edge,” a Presentation from Xilinx

Chetan Khona, Director of the Industrial, Vision, Healthcare and Science Markets at Xilinx, presents the “New Adaptive Module for Vision AI at the Edge” tutorial at the May 2021 Embedded Vision Summit. Xilinx Kria System-on-Modules (SOMs) provide a secure, production-ready multi-core Arm and FPGA platform, including memories, power management, and Yocto or Ubuntu Linux to

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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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