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

Algorithms & Models, Automotive, Emotion Discernment, Face Detection, Processors, Sensors and Cameras, Software, Summit 2020, Videos, 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 rating from NCAP. This presentation […]

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Face Mask Detection in Street Camera Video Streams Using AI: Behind the Curtain

Articles, Object Identification, Security, Tryolabs /

This article was originally published at Tryolabs’ website. It is reprinted here with the permission of Tryolabs. In the new world of coronavirus, multidisciplinary efforts have been organized to slow the spread of the pandemic. The AI community has also been a part of these endeavors. In particular, developments for monitoring social distancing or identifying

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SLAMcore Debuts Full-stack Spatial AI SDK in Industry Competition

Algorithms & Models, Blog Posts, Object Tracking, Robotics, Sensors and Cameras, SLAMcore, Software, Tools /

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

Algorithms & Models, Articles, MathWorks, Object Identification, Software, Tools /

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

Augmented Reality, Blog Posts, Jon Peddie Research, Market Analysis /

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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What Is Object Detection?

Algorithms & Models, Articles, MathWorks, Object Identification, Object Tracking, Software, Tools /

This article was originally published at MathWorks’ website. It is reprinted here with the permission of MathWorks. 3 Things You Need to Know Object detection is a computer vision technique for locating instances of objects in images or videos. Object detection algorithms typically leverage machine learning or deep learning to produce meaningful results. When humans

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“Object Detection for Embedded Markets,” a Presentation from Imagination Technologies

Algorithms & Models, Imagination Technologies, Object Identification, Object Tracking, Processors, Software, Summit 2019, Tools, Videos /

Paul Brasnett, PowerVR Business Development Director for Vision and AI at Imagination Technologies, presents the “Object Detection for Embedded Markets” tutorial at the May 2019 Embedded Vision Summit. While image classification was the breakthrough use case for deep learning-based computer vision, today it has a limited number of real-world applications. In contrast, object detection is

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“Sensory Fusion for Scalable Indoor Navigation,” a Presentation from Brain Corp

Algorithms & Models, Industrial Vision (Computer Vision), Object Identification, Processors, Retail, Robotics, Sensors and Cameras, Software, Summit 2019, Tools, Videos /

Oleg Sinyavskiy, Director of Research and Development at Brain Corp, presents the “Sensory Fusion for Scalable Indoor Navigation” tutorial at the May 2019 Embedded Vision Summit. Indoor autonomous navigation requires using a variety of sensors in different modalities. Merging together RGB, depth, lidar and odometry data streams to achieve autonomous operation requires a fusion of

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“Enabling the Next Kitchen Experience Through Embedded Vision,” a Presentation from Whirlpool

Object Identification, Processors, Sensors and Cameras, Software, Summit 2019, Videos, Whirlpool /

Sugosh Venkataraman, Vice President of Technology at Whirlpool, presents the “Enabling the Next Kitchen Experience Through Embedded Vision,” tutorial at the May 2019 Embedded Vision Summit. Our kitchens are the hubs where we spend quality time with family and friends, preparing and eating meals. Today, instructions for cooking a particular meal are just a few

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“Applied Depth Sensing with Intel RealSense,” a Presentation from Intel

Algorithms & Models, Intel, Object Tracking, Processors, Robotics, Sensors and Cameras, Software, Summit 2019, Tools, Videos /

Sergey Dorodnicov, Software Architect at Intel, presents the “Applied Depth Sensing with Intel RealSense” tutorial at the May 2019 Embedded Vision Summit. As robust depth cameras become more affordable, many new products will benefit from true 3D vision. This presentation highlights the benefits of depth sensing for tasks such as autonomous navigation, collision avoidance and

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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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