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 Aldred, Electronics Lead at Dyson.
Added to this year's Embedded Vision Summit are sessions focused on computer vision business opportunities, market trends, and applications. They're tailored for engineering and corporate management attendees, along with analysts, editors, and others who don't require in-depth technology details but are instead interested in application and market overview information and other bigger-picture topics.
System and software developers who want to build their skills in practical computer vision implementation techniques will want to check out the in-depth workshops being presented on May 11th and 13th in Santa Clara, California, in conjunction with the May 12th Embedded Vision Summit. Details on three of the workshops, including online registration facilities, are currently published on the Alliance website.
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.
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.
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.