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The listing below showcases the most recently published content associated with various AI and visual intelligence functions.

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Improve Accuracy and Robustness of Vision AI Apps with Vision Transformers and NVIDIA TAO

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Vision Transformers (ViTs) are taking computer vision by storm, offering incredible accuracy, robust solutions for challenging real-world scenarios, and improved generalizability. The algorithms are playing a pivotal role in boosting computer vision applications and NVIDIA is making

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Hailo Demonstration of Art of Logic’s Video Management System

Yaniv Iarovici, Head of Business Development at Hailo, demonstrates the company’s latest edge AI and vision technologies and products at the 2023 Embedded Vision Summit. Specifically, Iarovici demonstrates a powerful, complete video management system (VMS) solution for public safety and security. The VMS leverages the Samurai Detect video analytics application developed by Hailo’s software partner,

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DeGirum Demonstration of Efficient Pipelining of Multiple Models Using DeGirum PySDK

Shashi Chilappagari, Co-Founder and Chief Architect of DeGirum, demonstrates the company’s latest edge AI and vision technologies and products at the 2023 Embedded Vision Summit. Specifically, Chilappagari demonstrates DeGirum’s hardware (ORCA) and software (PySDK). Chilappagari demonstrates PYSDK’s ability to pipeline multiple machine learning models by showcasing a use case in which the output of one

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DeGirum Demonstration of Running Multiple Object Detection Models in Parallel on DeGirum ORCA

Shashi Chilappagari, Co-Founder and Chief Architect of DeGirum, demonstrates the company’s latest edge AI and vision technologies and products at the 2023 Embedded Vision Summit. Specifically, Chilappagari demonstrates DeGirum’s hardware (ORCA) and software (PySDK). Chilappagari demonstrates a use case in which three YOLOv5-based object detection models (hand detection, face detection, and person detection) are running

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BrainChip Demonstration of Sensor-agnostic, Event-based, Untethered Edge AI Inference and Learning

Nandan Nayampally, Chief Marketing Officer and Head of Product at BrainChip, demonstrates the company’s latest edge AI and vision technologies and products at the 2023 Embedded Vision Summit. Specifically, Nayampally demonstrates the value propositions of BrainChip’s Akida platform. The Akida platform provides efficient AI edge processing, easily integrated fully digital IP, and a full stack

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BrainChip Demonstration of Vision and Edge Learning Solutions for Event- and Frame-based Cameras

Nikunj Kotecha, Solutions Architect at BrainChip, demonstrates the company’s latest edge AI and vision technologies and products at the 2023 Embedded Vision Summit. Specifically, Kotecha demonstrates BrainChip’s brain-inspired Akida platform. With the Akida platform, AI applications are free from the tethers of the cloud and can learn independently. Whether recognizing faces in conventional webcam images

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Avnet Demonstration of Its Edge AI Kit for Fast Stereo Face Recognition with NXP’s i.MX 8M Plus MPU

Monica Houston, Advanced Application Group AI/ML team manager at Avnet, demonstrates the company’s latest edge AI and vision technologies and products at the 2023 Embedded Vision Summit. Specifically, Houston demonstrates Avnet’s Edge AI Kit, which provides stereo vision capabilities that help ensure facial recognition is accurate and secure, in action. Houston also explains what’s included

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Edge Impulse Demonstration of FOMO: Constrained Object Detection on Embedded Devices

Shawn Hymel, Senior Developer Relations Engineer at Edge Impulse, demonstrates the company’s latest edge AI and vision technologies and products at the 2023 Embedded Vision Summit. Specifically, Hymel demonstrates (“Faster Objects, More Objects”), a novel machine learning algorithm that brings object detection to highly constrained devices. FOMO lets you count objects, find the location of

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