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Software for Embedded Vision

Codeplay’s Contribution to DPC++ Brings SYCL Support for NVIDIA GPUs

This blog post was originally published at Codeplay Software’s website. It is reprinted here with the permission of Codeplay Software. Codeplay has been a part of the SYCL™ community from the beginning, and our team has worked with peers from some of the largest semiconductor vendors including Intel and Xilinx for the past 5 years

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“PyTorch Deep Learning Framework: Status and Directions,” a Presentation from Facebook

Joseph Spisak, Product Manager at Facebook, delivers the presentation “PyTorch Deep Learning Framework: Status and Directions” at the Embedded Vision Alliance’s December 2019 Vision Industry and Technology Forum. Spisak gives an update on the Torch deep learning framework and where it’s heading. “PyTorch Deep Learning Framework: Status and Directions,” a Presentation from Facebook Register or

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“Current and Planned Standards for Computer Vision and Machine Learning,” a Presentation from the Khronos Group

Neil Trevett, President of the Khronos Group and Vice President of Developer Ecosystems at NVIDIA, delivers the presentation “Current and Planned Standards for Computer Vision and Machine Learning” at the Embedded Vision Alliance’s December 2019 Vision Industry and Technology Forum. Trevett shares updates on recent, current and planned Khronos standardization… “Current and Planned Standards for

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“Edge/Cloud Tradeoffs and Scaling a Consumer Computer Vision Product,” a Presentation from Cocoon Health

Pavan Kumar, Co-founder and CTO of Cocoon Cam (formerly Cocoon Health), delivers the presentation “Edge/Cloud Tradeoffs and Scaling a Consumer Computer Vision Product” at the Embedded Vision Alliance’s September 2019 Vision Industry and Technology Forum. Kumar explains how his company is evolving its use of edge and cloud vision computing… “Edge/Cloud Tradeoffs and Scaling a

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“Creating, Weaponizing, and Detecting Deep Fakes,” a Presentation from U.C. Berkeley

Shruti Agarwal, Ph.D. Candidate at U.C. Berkeley, delivers the presentation “Creating, Weaponizing, and Detecting Deep Fakes” at the Embedded Vision Alliance’s September 2019 Vision Industry and Technology Forum. Agarwal explains how to use computer vision to detect “deepfakes.” “Creating, Weaponizing, and Detecting Deep Fakes,” a Presentation from U.C. Berkeley Register or sign in to access

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“Quantizing Deep Networks for Efficient Inference at the Edge,” a Presentation from Facebook

Raghuraman Krishnamoorthi, Software Engineer at Facebook, delivers the presentation “Quantizing Deep Networks for Efficient Inference at the Edge” at the Embedded Vision Alliance’s September 2019 Vision Industry and Technology Forum. Krishnamoorthi gives an overview of practical deep neural network quantization techniques and tools. “Quantizing Deep Networks for Efficient Inference at the Edge,” a Presentation from

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“Embedded Vision Applications Lead Way for Processors in AI: A Market Analysis of Vision Processors,” a Presentation from IHS Markit

Tom Hackenberg, Principal Analyst at IHS Markit, presents the “Embedded Vision Applications Lead Way for Processors in AI: A Market Analysis of Vision Processors” tutorial at the May 2019 Embedded Vision Summit. Artificial intelligence is not a new concept. Machine learning has been used for decades in large server and… “Embedded Vision Applications Lead Way

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“Five+ Techniques for Efficient Implementation of Neural Networks,” a Presentation from Synopsys

Bert Moons, Hardware Design Architect at Synopsys, presents the “Five+ Techniques for Efficient Implementation of Neural Networks” tutorial at the May 2019 Embedded Vision Summit. Embedding real-time, large-scale deep learning vision applications at the edge is challenging due to their huge computational, memory and bandwidth requirements. System architects can mitigate… “Five+ Techniques for Efficient Implementation

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“Building Complete Embedded Vision Systems on Linux — From Camera to Display,” a Presentation from Montgomery One

Clay D. Montgomery, Freelance Embedded Multimedia Developer at Montgomery One, presents the “Building Complete Embedded Vision Systems on Linux—From Camera to Display” tutorial at the May 2019 Embedded Vision Summit. There’s a huge wealth of open-source software components available today for embedding vision on the latest SoCs from suppliers such… “Building Complete Embedded Vision Systems

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Rapid Prototyping on NVIDIA Jetson Platforms with MATLAB

This article was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. This article discusses how an application developer can prototype and deploy deep learning algorithms on hardware like the NVIDIA Jetson Nano Developer Kit with MATLAB. In previous posts, we explored how you can… Rapid Prototyping on NVIDIA Jetson

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“Creating Efficient, Flexible and Scalable Cloud Computer Vision Applications: An Introduction,” a Presentation from GumGum

Nishita Sant, Computer Vision Manager, and Greg Chu, Senior Computer Vision Scientist, both of GumGum, present the “Creating Efficient, Flexible and Scalable Cloud Computer Vision Applications: An Introduction” tutorial at the May 2019 Embedded Vision Summit. Given the growing utility of computer vision applications, how can you deploy these services… “Creating Efficient, Flexible and Scalable

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“Selecting the Right Imager for Your Embedded Vision Application,” a Presentation from Capable Robot Components

Chris Osterwood, Founder and CEO of Capable Robot Components, presents the “Selecting the Right Imager for Your Embedded Vision Application” tutorial at the May 2019 Embedded Vision Summit. The performance of your embedded vision product is inexorably linked to the imager and lens it uses. Selecting these critical components is… “Selecting the Right Imager for

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“Game Changing Depth Sensing Technique Enables Simpler, More Flexible 3D Solutions,” a Presentation from Magik Eye

Takeo Miyazawa, Founder and CEO of Magik Eye, presents the “Game Changing Depth Sensing Technique Enables Simpler, More Flexible 3D Solutions” tutorial at the May 2019 Embedded Vision Summit. Magik Eye is a global team of computer vision veterans that have developed a new method to determine depth from light… “Game Changing Depth Sensing Technique

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“Machine Learning at the Edge in Smart Factories Using TI Sitara Processors,” a Presentation from Texas Instruments

Manisha Agrawal, Software Applications Engineer at Texas Instruments, presents the “Machine Learning at the Edge in Smart Factories Using TI Sitara Processors” tutorial at the May 2019 Embedded Vision Summit. Whether it’s called “Industry 4.0,” “industrial internet of things” (IIOT) or “smart factories,” a fundamental shift is underway in manufacturing:… “Machine Learning at the Edge

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“Using High-level Synthesis to Bridge the Gap Between Deep Learning Frameworks and Custom Hardware Accelerators,” a Presentation from Mentor

Michael Fingeroff, HLS Technologist at Mentor, presents the “Using High-level Synthesis to Bridge the Gap Between Deep Learning Frameworks and Custom Hardware Accelerators” tutorial at the May 2019 Embedded Vision Summit. Recent years have seen an explosion in machine learning/AI algorithms with a corresponding need to use custom hardware for… “Using High-level Synthesis to Bridge

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“Fundamental Security Challenges of Embedded Vision,” a Presentation from Synopsys

Mike Borza, Principal Security Technologist at Synopsys, presents the “Fundamental Security Challenges of Embedded Vision” tutorial at the May 2019 Embedded Vision Summit. As facial recognition, surveillance and smart vehicles become an accepted part of our daily lives, product and chip designers are coming to grips with the business need… “Fundamental Security Challenges of Embedded

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“Introduction to Optics for Embedded Vision,” a Presentation from Jessica Gehlhar

Jessica Gehlhar, formerly an imaging engineer at Edmund Optics, presents the “Introduction to Optics for Embedded Vision” tutorial at the May 2019 Embedded Vision Summit. This talk provides an introduction to optics for embedded vision system and algorithm developers. Gehlhar begins by presenting fundamental imaging lens specifications and quality metrics… “Introduction to Optics for Embedded

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May 18 - 21, Santa Clara, California

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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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