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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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“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… “Understanding DNN-Based Object Detectors,” a

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Upcoming Webinar Discusses Optimized Face Recognition

On August 17, 2022 at 10:00 am Central Time, Alliance Member company Texas Instruments will deliver the free webinar “Highly Optimized Face Recognition with HuBe.ai on AM62x.” From the event page: In this episode of Process This, we are delighted to present MulticoreWare’s HuBe.ai (Human Behavior) optimized for edge devices Software IP with capabilities such

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“Human-centric Computer Vision with Synthetic Data,” a Presentation from Unity Technologies

Alex Thaman, Chief Software Architect at Unity Technologies, presents the “Human-centric Computer Vision with Synthetic Data” tutorial at the May 2022 Embedded Vision Summit. Companies are continuing to accelerate the adoption of computer vision to detect, identify and understand humans from camera imagery. Unity sees these human-centric use cases in… “Human-centric Computer Vision with Synthetic

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“Combining Ultra-low-power Proximity Sensing and Ranging to Enable New Applications,” a Presentation from STMicroelectronics

Armita Abadian, Senior Technical Marketing Manager for Imaging in the Americas at STMicroelectronics, presents the “Combining Ultra-low-power Proximity Sensing and Ranging to Enable New Applications” tutorial at the May 2022 Embedded Vision Summit. Time-of-flight (ToF) sensors are widely used to provide depth maps, which enable machines to understand their surroundings… “Combining Ultra-low-power Proximity Sensing and

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“A Platform Approach to Developing Networked Visual AI Systems,” a Presentation from Network Optix

Nathan Wheeler, Chairman and CEO, and Tony Luce, Vice President of Product Marketing, both of Network Optix, present the “Platform Approach to Developing Networked Visual AI Systems” tutorial at the May 2022 Embedded Vision Summit. Connected cameras are becoming ubiquitous. Coupled with CV and ML, they enable a growing range… “A Platform Approach to Developing

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NVIDIA DeepStream Technical Deep Dive: Multi-object Tracker

This video was originally published at the NVIDIA Developer YouTube channel. It is reprinted here with the permission of NVIDIA. NVIDIA’s DeepStream SDK delivers a complete streaming analytics toolkit for AI-based multi-sensor processing, video, audio and image understanding. This video covers the fundamentals of NVIDIA’s new tracker unified architecture. From the video, you will: Learn

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May 2022 Embedded Vision Summit Slides

The Embedded Vision Summit was held on May 16-19, 2022 in Santa Clara, California, as an educational forum for product creators interested in incorporating visual intelligence into electronic systems and software. The presentations delivered at the Summit are listed below. All of the slides from these presentations are included in… May 2022 Embedded Vision Summit

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STMicroelectronics Reveals Affordable and Turnkey STGesture Recognition for Touchless Control in Diverse Applications

Dedicated FlightSense™ software package enables low-power, low-cost gesture sensing Full Privacy, thanks to camera-free solution leveraging ToF multi-zone ranging sensor 25 Apr 2022 | Geneva | STMicroelectronics (NYSE: STM), a global semiconductor leader serving customers across the spectrum of electronics applications, has launched a solution for touchless gesture-based controls in simple, cost-conscious consumer and industrial

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Exploring Data Labeling and the 6 Different Types of Image Annotation

This blog post was originally published at Xailient’s website. It is reprinted here with the permission of Xailient. Data labeling is an essential step in a supervised machine learning task. The same is true for image annotation. Data labeling and image annotations must work together to paint a complete picture. If you show a child

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