Videos

“Deep Understanding of Shopper Behaviors and Interactions Using Computer Vision,” a Presentation from the Università Politecnica delle Marche

Emanuele Frontoni, Professor, and Rocco Pietrini, Ph.D. student, both of the Università Politecnica delle Marche, present the “Deep Understanding of Shopper Behaviors and Interactions Using Computer Vision” tutorial at the May 2018 Embedded Vision Summit. In retail environments, there’s great value in understanding how shoppers move in the space and interact with products. And, while […]

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“Programming Techniques for Implementing Inference Software Efficiently,” a Presentation from Codeplay Software

Andrew Richards, CEO and Founder of Codeplay Software, presents the “Programming Techniques for Implementing Inference Software Efficiently” tutorial at the May 2018 Embedded Vision Summit. When writing software to deploy deep neural network inferencing, developers are faced with an overwhelming range of options, from a custom-coded implementation of a single model to using a deep

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“Introduction to Creating a Vision Solution in the Cloud,” a Presentation from GumGum

Nishita Sant, Computer Vision Scientist at GumGum, presents the “Introduction to Creating a Vision Solution in the Cloud” tutorial at the May 2018 Embedded Vision Summit. A growing number of applications utilize cloud computing for execution of computer vision algorithms. In this presentation, Sant introduces the basics of creating a cloud-based vision service, based on

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“Building A Practical Face Recognition System Using Cloud APIs,” a Presentation from the Washington County Sheriff’s Office

Chris Adzima, Senior Information Systems Analyst for the Washington County Sheriff’s Office in Oregon, presents the “Building a Practical Face Recognition System Using Cloud APIs” tutorial at the May 2018 Embedded Vision Summit. In this presentation, Adzima walks through the design and implementation of a face recognition system utilizing cloud computing and cloud computer vision

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“APIs for Accelerating Vision and Inferencing: Options and Trade-offs,” a Presentation from Khronos

Neil Trevett, President of the Khronos Group and Vice President at NVIDIA, presents the “APIs for Accelerating Vision and Inferencing: Options and Trade-offs” tutorial at the May 2018 Embedded Vision Summit. The landscape of SDKs, APIs and file formats for accelerating inferencing and vision applications continues to rapidly evolve. Low-level compute APIs, such as OpenCL,

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“Solving Vision Tasks Using Deep Learning: An Introduction,” a Presentation from Google

Pete Warden, Google research engineer and the tech lead of  the TensorFlow Mobile and Embedded team, presents the “Solving Vision Tasks Using Deep Learning: An Introduction” tutorial at the May 2018 Embedded Vision Summit. This talk introduces deep learning for vision tasks. It provides an overview of deep learning, explores its weaknesses and strengths, and

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“The Four Key Trends Driving the Proliferation of Visual Perception,” a Presentation from the Embedded Vision Alliance

Jeff Bier, Founder of the Embedded Vision Alliance and Co-founder and President of BDTI, presents the “Four Key Trends Driving the Proliferation of Visual Perception” tutorial at the May 2018 Embedded Vision Summit. With so much happening in computer vision applications and technology, and happening so fast, it can be difficult to see the big

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Synopsys Demonstration of YOLO v2-based Object Detection and Identification

Jon Talbot, Field Applications Engineer in the Solutions Group at Synopsys, demonstrates the company’s latest embedded vision technologies and products at the February 2018 Embedded World conference. Specifically, Talbot demonstrates a YOLO (You Only Look Once) v2 CNN graph used for object detection and identification. Deep learning inference is running on the combination of a

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“A New Approach to Mass Transit Security,” a Presentation from Lux Research

Mark Bünger, Vice President of Research at Lux Research, delivers the presentation "A New Approach to Mass Transit Security" at the Embedded Vision Alliance's March 2018 Vision Industry and Technology Forum. Bünger presents a revolutionary computer-vision-based methodology for public transit safety.

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