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 to fill out this brief survey. As a token of our appreciation, upon completing this survey you will be entered into a drawing to win one of the following three prizes:
Vision processing is, as any number of Embedded Vision Alliance-championed articles and videos already attest, a key aspect of robust automation systems (where it's often referred to as "machine vision").
Those of you who've already read the Alliance-authored article "Vision in Wearable Devices: Enhanced and Expanded Application and Function Choices" (and if you haven't yet, why not?) may now be looking for additional information that'll enable you to bring the ideas stimulated by your research to fruition.
Last Friday, I had the pleasure of telling you about the first scheduled keynote presenter for May's Embedded Vision Summit, Ren Wu, distinguished scientist at Baidu's Institute of Deep Learning. Today, I'm pleased to tell you about the other scheduled keynote presenter, Mike Read, Electronics Lead at Dyson.
Baidu is a company whose name may be unfamiliar to you...unless you speak Chinese, that is, in which case it'll likely be very recognizable. As China's leading search engine, according to Wikipedia, the company's focus is not only on indexing website text but also multimedia content, such as audio files, still images and video clips.
Regular visitors to the videos section of the Alliance website already know that member company NVIDIA's GPU Technology Conference (GTC) is (and will continue to be) an ongoing source of practical computer vision tutorials and other presentation content.
The National Library of Medicine (NLM) has issued a call for participation in a Pill Image Recognition (PIR) Request for Information (RFI). Unidentified and misidentified prescription pills present challenges for individuals and professionals. Unidentified pills can be found by family members, health professionals, educators, and law enforcement. The nine out of 10 US citizens over age 65 who take more than one prescription pill can be prone to misidentifying those pills.
If you've spent any notable amount of time on the Alliance website perusing its content, you've undoubtedly come across the keyword "OpenVX". This API, developed by the Khronos Group (which also develops the well known OpenGL, OpenCL and other API specifications), a standard for cross platform acceleration of computer vision applications. OpenVX enables power efficient vision processing with a focus on mobile and embedded systems.
The Embedded Vision Alliance, in partnership with Apress Media LLC, is pleased to provide you with a free electronic copy of the newly published book "Computer Vision Metrics," by Scott Krig, and published on the Alliance website. The Alliance will be periodically publishing new book chapters in both HTML and PDF formats, whose links you'll find here.
To date, the Embedded Vision Alliance sponsored and otherwise participated in plenty of "physical" events, such as last week's Embedded Vision Summit. It's also been involved in multiple webinars and other online events. But on the latter front, it hasn't yet tackled a Google+ Hangout...until later this month, that is.