Resources
In-depth information about the edge AI and vision applications, technologies, products, markets and trends.
The content in this section of the website comes from Edge AI and Vision Alliance members and other industry luminaries.
All Resources
“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
“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
A Guide to Video Analytics: Applications and Opportunities
This article was originally published at Tryolabs’ website. It is reprinted here with the permission of Tryolabs. Introduction In the past few years, video analytics, also known as video content analysis or intelligent video analytics,
IEEE to Define a Formal Model for Safe Automated Vehicle Decision-Making
What’s New: The Institute of Electrical and Electronics Engineers (IEEE) has approved a proposal to develop a standard for safety considerations in automated vehicle (AV) decision-making and named Intel Senior Principal Engineer Jack Weast to
“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.
“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
“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
“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
“How to Choose a 3D Vision Sensor,” a Presentation from Capable Robot Components
Chris Osterwood, Founder and CEO of Capable Robot Components, presents the "How to Choose a 3D Vision Sensor" tutorial at the May 2019 Embedded Vision Summit. Designers of autonomous vehicles, robots and many other systems
Technologies
“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.
“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 activities aimed at streamlining the
A Guide to Video Analytics: Applications and Opportunities
This article was originally published at Tryolabs’ website. It is reprinted here with the permission of Tryolabs. Introduction In the past few years, video analytics, also known as video content analysis or intelligent video analytics, has attracted increasing interest from both industry and the academic world. Thanks to the enormous advances made in deep learning,
Applications
A Guide to Video Analytics: Applications and Opportunities
This article was originally published at Tryolabs’ website. It is reprinted here with the permission of Tryolabs. Introduction In the past few years, video analytics, also known as video content analysis or intelligent video analytics, has attracted increasing interest from both industry and the academic world. Thanks to the enormous advances made in deep learning,
IEEE to Define a Formal Model for Safe Automated Vehicle Decision-Making
What’s New: The Institute of Electrical and Electronics Engineers (IEEE) has approved a proposal to develop a standard for safety considerations in automated vehicle (AV) decision-making and named Intel Senior Principal Engineer Jack Weast to lead the workgroup. Participation in the workgroup is open to companies across the AV industry, and Weast hopes for broad
“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 in continuing to bring new
Functions
“Object Detection for Embedded Markets,” a Presentation from Imagination Technologies
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
“Sensory Fusion for Scalable Indoor Navigation,” a Presentation from Brain Corp
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
“Enabling the Next Kitchen Experience Through Embedded Vision,” a Presentation from 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
