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Building and Deploying a Face Mask Detection Application Using NGC Collections

This technical article was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. AI workflows are complex. Building an AI application is no trivial task, as it takes various stakeholders with domain expertise to develop and deploy the application at scale. Data scientists and developers need easy access to software […]

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“Eye Tracking for the Future,” a Presentation from Parallel Rules

Peter Milford, President of Parallel Rules, presents the “Eye Tracking for the Future” tutorial at the September 2020 Embedded Vision Summit. Eye tracking is an increasingly important technology for applications ranging from augmented and virtual reality head-mounted displays to automotive driver monitoring. In this talk, Milford introduces eye tracking techniques and technical challenges. He also

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“Challenges and Approaches for Cascaded DNNs: A Case Study of Face Detection for Face Verification,” a Presentation from Imagination Technologies

Ana Salazar, Senior Research Manager at Imagination Technologies, presents the “Challenges and Approaches for Cascaded DNNs: A Case Study of Face Detection for Face Verification” tutorial at the September 2020 Embedded Vision Summit. This talk explores the challenges of deploying serial computer vision tasks implemented with DNNs. Neural network accelerators have demonstrated significant gains in

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The Battlefield of Cutting Edge Face Detectors

This blog post was originally published at Xailient’s website. It is reprinted here with the permission of Xailient. Face detector is one of the most commonly used AI component today. Whether you are building a system to count the number of people in a room or a home security system that unlocks the door when

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“Safer and More Efficient Intersections with Computer Vision,” a Presentation from Cubic | GRIDSMART

Jeff Price, Vice President and General Manager at Cubic | GRIDSMART, presents the “Safer and More Efficient Intersections with Computer Vision” tutorial at the September 2020 Embedded Vision Summit. GRIDSMART is an edge computer vision system that uses omnidirectional imaging to detect and track objects through intersections to optimize traffic signal timing in response to

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“Deep Learning for Manufacturing Inspection: Case Studies,” a Presentation from FLIR Systems

Stephen Se, Senior Research Manager at FLIR Systems, presents the “Deep Learning for Manufacturing Inspection: Case Studies” tutorial at the September 2020 Embedded Vision Summit. Deep learning has revolutionized artificial intelligence and has been shown to provide the best solutions to many problems in computer vision, image classification, speech recognition and natural language processing. See

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“Practical Image Data Augmentation Methods for Training Deep Learning Object Detection Models,” a Presentation from EJ Technology Consultants

Evan Juras, Computer Vision Engineer at EJ Technology Consultants, presents the “Practical Image Data Augmentation Methods for Training Deep Learning Object Detection Models” tutorial at the September 2020 Embedded Vision Summit. Data augmentation is a method of expanding deep learning training datasets by making various automated modifications to existing images in the dataset. The resulting

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Introducing Intel RealSense ID Facial Authentication

What’s New: Today, Intel introduced Intel® RealSense™ ID, an on-device solution that combines an active depth sensor with a specialized neural network designed to deliver secure, accurate and user-aware facial authentication. Intel RealSense ID works with smart locks, access control, point-of-sale, ATMs, kiosks and more. “Intel RealSense ID combines purpose-built hardware and software with a dedicated

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New June Oven Designed with MediaTek’s i500 AIoT Platform Delivers a Smart Cooking Experience to Consumers

MediaTek’s i500 brings powerful computer vision, advanced multimedia and fast Wi-Fi to the third-generation June Oven HSINCHU, Taiwan – December 14, 2020 –MediaTek today announced that the company’s i500 AIoT chipset platform is the main processor inside the new June Oven, a twelve-in-one countertop convection oven. MediaTek’s i500 has a dedicated AI Processing Unit (APU)

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OmniVision Announces World’s First Dedicated Driver Monitoring System ASIC With Integrated AI Neural Processing Unit, Image Signal Processor and DDR3 Memory

Optimized for Entry-Level DMS With Industry’s Lowest Power Consumption and Board Space for Processing Eye Gaze and Eye Tracking Algorithms; ASIC and Image Sensor, Combined, Consume Less Than 1 Watt SANTA CLARA, Calif. – Jan. 4, 2021 – OmniVision Technologies, Inc., a leading developer of advanced digital imaging solutions, today announced in advance of CES

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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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