Newsletters

LETTER FROM THE EDITOR Dear Colleague, The next session of the Embedded Vision Alliance's in-person, hands-on technical training class series, Deep Learning for Computer Vision with TensorFlow, takes place in less than a month in San Jose, California. These classes give you the critical knowledge you need to develop deep learning computer vision applications with […]

VISION PROCESSING IN THE CLOUD Introduction to Creating a Vision Solution in the Cloud A growing number of applications utilize cloud computing for execution of computer vision algorithms. In this presentation, Nishita Sant, Computer Vision Scientist at GumGum, introduces the basics of creating a cloud-based vision service, based on GumGum's experience developing and deploying a

OPENVX UPDATES The OpenVX Computer Vision and Neural Network Inference Library Standard for Portable, Efficient Code OpenVX is an industry-standard computer vision and neural network inference API designed for efficient implementation on a variety of embedded platforms. The API incorporates the concept of a dataflow graph, which enables processor and tool developers to apply a

APIS, FRAMEWORKS, AND OTHER SOFTWARE TOOLS APIs for Accelerating Vision and Inferencing: Options and Trade-offs The landscape of SDKs, APIs and file formats for accelerating inferencing and vision applications continues to evolve rapidly. Low-level compute APIs, such as OpenCL, Vulkan and CUDA are being used to accelerate inferencing engines such as OpenVX, CoreML, NNAPI and

EMBEDDED VISION PERSPECTIVES The Four Key Trends Driving the Proliferation of Visual Perception With so much happening in computer vision applications and technology, and happening so fast, it can be difficult to see the big picture. In this talk, Jeff Bier, Founder of the Embedded Vision Alliance and Co-founder and President of BDTI, examines the

DEEP LEARNING FOR VISION PROCESSING The Caffe2 Framework for Mobile and Embedded Deep Learning Fei Sun, software engineer at Facebook, introduces Caffe2, a new open-source machine learning framework, in this presentation. Sun also explains how Facebook is using Caffe2 to enable computer vision in mobile and embedded devices. Methods for Understanding How Deep Neural Networks

LETTER FROM THE EDITOR Dear Colleague, Newly published on the Alliance website are the first 7 of what will eventually be nearly 100 presentation recordings from last month’s Embedded Vision Summit, as well as the downloadable set of presentation slides that I mentioned last time. Additional presentation recordings, along with nearly 50 demonstration videos, will

LETTER FROM THE EDITOR Dear Colleague, This year’s Embedded Vision Summit, which took place last week, was the best yet; more than 1,000 attendees, more than 90 speakers across six presentation tracks, and more than 50 exhibitors demonstrating more than 100 vision technologies and products. A downloadable slide set of the presentations from the Summit

EMBEDDED VISION SUMMIT SPECIAL EDITION Dear Colleague, Only two weeks to go until the Embedded Vision Summit, the industry’s largest event for practical computer vision. We're devoting this issue of Embedded Vision Insights to covering the exciting speakers, presentations and workshops we have planned. The complete schedule is now published, and you should definitely take

LETTER FROM THE EDITOR Dear Colleague, This year’s Embedded Vision Summit will feature three immersive Vision Technology Workshops: Khronos Standards for Neural Networks and Embedded Vision, Optimized Inference at the Edge with Intel and Artificial Intelligence from Concept to Implementation from Synopsys. Don’t miss your chance to attend the preeminent event for practical computer vision.