Processors

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

Algorithms, 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, 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, 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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“A Self-service Platform to Deploy State-of-the-art Deep Learning Models in Under 30 Minutes,” a Presentation from Xnor.ai

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Peter Zatloukal, VP of Engineering at Xnor.ai, presents the “A Self-service Platform to Deploy State-of-the-art Deep Learning Models in Under 30 Minutes” tutorial at the May 2019 Embedded Vision Summit. The first-of-its-kind, self-service platform described in this presentation makes it possible for software and hardware developers—even those who aren’t skilled in artificial intelligence—to deploy hyper-efficient,

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“Teaching Machines to See, Understand, Describe and Predict Sports Games in Real Time,” a Presentation from Sportlogiq

Algorithms, Edge AI and Vision Alliance, Entertainment, Object Identification, Object Tracking, Processors, Software, Summit 2019, Tools, Videos /

Mehrsan Javan, CTO of Sportlogiq, presents the “Teaching Machines to See, Understand, Describe and Predict Sports Games in Real Time” tutorial at the May 2019 Embedded Vision Summit. Sports analytics is about observing, understanding and describing the game in an intelligent manner. In practice, this means designing a fully-automated, robust, end-to-end pipeline; from visual input,

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“Deep Learning for Manufacturing Inspection Applications,” a Presentation from FLIR Systems

Algorithms, Industrial Vision (Computer Vision), Processors, Sensors and Cameras, Software, Summit 2019, Tools, Videos /

Stephen Se, Research Manager at FLIR Systems, presents the “Deep Learning for Manufacturing Inspection Applications” tutorial at the May 2019 Embedded Vision Summit. Recently, 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. Se presents

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“Deploying Visual SLAM in Low-power Devices,” a Presentation from CEVA

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Ben Weiss, Customer Solutions Engineer in the CSG Group at CEVA, presents the “Deploying Visual SLAM in Low-power Devices” tutorial at the May 2019 Embedded Vision Summit. Simultaneous localization and mapping (SLAM) technology has been evolving for quite some time, including visual SLAM, which relies primarily on image data. But implementing fast, accurate visual SLAM

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“Data Annotation at Scale: Pitfalls and Solutions,” a Presentation from Intel

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Nikita Manovich, Senior Software Engineer at Intel, presents the “Data Annotation at Scale: Pitfalls and Solutions” tutorial at the May 2019 Embedded Vision Summit. In many real-world use cases, deep learning algorithms work well if you have enough high-quality data to train them. Obtaining that data is a critical limiting factor in the development of

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“Machine Learning- based Image Compression: Ready for Prime Time?,” a Presentation from Clarifai

Algorithms, Edge AI and Vision Alliance, Processors, Software, Summit 2019, Tools, Videos /

Michael Gormish, Research Manager at Clarifai, presents the “Machine Learning- based Image Compression: Ready for Prime Time?” tutorial at the May 2019 Embedded Vision Summit. Computer vision is undergoing dramatic changes because deep learning techniques are now able to solve complex non-linear problems. Computer vision pipelines used to consist of hand engineered stages mathematically optimized

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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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