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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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“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… “Deep Learning for Manufacturing Inspection:

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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… “Practical Image Data Augmentation Methods

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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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“Driver Monitoring Systems: Present and Future,” a Presentation from XPERI

Petronel Bigioi, CTO for Imaging at XPERI, presents the “Driver Monitoring Systems: Present and Future” tutorial at the September 2020 Embedded Vision Summit. Monitoring drivers and passengers inside of vehicles is an increasingly critical capability. For example, driver monitoring is required in order for cars to obtain a top safety… “Driver Monitoring Systems: Present and

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SLAMcore Debuts Full-stack Spatial AI SDK in Industry Competition

This blog post was originally published at SLAMcore’s website. It is reprinted here with the permission of SLAMcore. The three most challenging questions in autonomous robotics are: where am I? how far away are the objects around me? and, what are those objects? The vast majority of robot failures stem from an inability to answer

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Object Recognition: 3 Things You Need to Know

This article was originally published at MathWorks’ website. It is reprinted here with the permission of MathWorks. What Is Object Recognition? Object recognition is a computer vision technique for identifying objects in images or videos. Object recognition is a key output of deep learning and machine learning algorithms. When humans look at a photograph or

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Vuforia Chalk—Telemedicine For the Industry

PTC is offering a free Remote Assistance with Augmented Reality to Help Manufacturers During the COVID19 Crisis The Coronavirus, COVID-19, has forced many of us, maybe most of us to work at home. For many workers, even some working in the tech industry, performing specific tasks at home can be difficult or require a special

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