Newsletters

LETTER FROM THE EDITOR Dear Colleague, The Embedded Vision Alliance is performing research to better understand what types of technologies are needed by product developers who are incorporating computer vision in new systems and applications. To help guide suppliers in creating the technologies that will be most useful to you, please take a few minutes […]

LETTER FROM THE EDITOR Dear Colleague, If you're interested in low-power, low-cost machine learning at the edge, attend Lattice Semiconductor's free webinar "Architecting Always-On, Context-Aware, On-Device AI Using Flexible Low-power FPGAs" on October 30, 2018 at 9 am Pacific Time, presented in partnership with the Embedded Vision Alliance. The speakers will be Deepak Boppana, the

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 two days in San Jose, California. These classes give you the critical knowledge you need to develop deep learning computer vision applications with TensorFlow. The

LETTER FROM THE EDITOR Dear Colleague, Lattice Semiconductor will deliver the free webinar “Architecting Always-On, Context-Aware, On-Device AI Using Flexible Low-power FPGAs” on October 30, 2018 at 9 am Pacific Time, in partnership with the Embedded Vision Alliance. The webinar will be presented by Deepak Boppana, the company’s Senior Director of Marketing, and Gordon Hands,

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