Nathan Wheeler, CEO and Co-Founder at Entropix, demonstrates the company's latest embedded vision technologies and products at the 2019 Embedded Vision Summit. Specifically, Wheeler explains how the company’s patented and potent computer vision products combine deep learning and modern AI software with low-cost dual-sensor cameras to extract extreme levels of detail from video and still […]
Royalty-free for end users, OpenVX specification defines new feature sets for enhanced implementation flexibility and performance; open source Raspberry Pi implementation available. Portland, OR — October 22, 2019 — 6:00 AM Pacific — Today The Khronos® Group, an open consortium of leading hardware and software companies creating advanced acceleration standards, announces the ratification and public
LETTER FROM THE EDITOR Dear Colleague, Deep Learning for Computer Vision with TensorFlow 2.0 and Keras is the Embedded Vision Alliance's in-person, hands-on technical training class. This one-day hands-on overview will give you the critical knowledge you need to develop deep learning computer vision applications with TensorFlow 2.0 and Keras for rapid development of neural
Embedded Vision Insights: October 22, 2019 Edition Read More +
On October 16, 2019, Jeff Bier, founder of the Embedded Vision Alliance, will present two sessions of a free one-hour webinar, “Key Trends in the Deployment of Visual AI”. The first session will take place at 9 am PT (noon ET), timed for attendees in Europe and the Americas. The second session, at 6 pm
Free Webinar Explores Key Trends in the Deployment of Visual AI Read More +
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 not a new concept. Machine learning has been used for decades in large server and high performance computing environments. Why
LETTER FROM THE EDITOR Dear Colleague, Next month, Lattice Semiconductor will deliver the free webinar "Delivering Milliwatt AI to the Edge with Ultra-Low Power FPGAs" in partnership with the Embedded Vision Alliance. Low power FPGAs are well suited for implementing machine learning inferencing at the edge, given their inherent parallel architecture along with the ability
Embedded Vision Insights: October 8, 2019 Edition Read More +
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 are faced with a critical challenge: Which 3D vision sensor technology to use? There are a wide variety of sensors
“How to Choose a 3D Vision Sensor,” a Presentation from Capable Robot Components Read More +
Clay D. Montgomery, Freelance Embedded Multimedia Developer at Montgomery One, presents the “Building Complete Embedded Vision Systems on Linux—From Camera to Display” tutorial at the May 2019 Embedded Vision Summit. There’s a huge wealth of open-source software components available today for embedding vision on the latest SoCs from suppliers such as NXP, Broadcom, TI and
Nishita Sant, Computer Vision Manager, and Greg Chu, Senior Computer Vision Scientist, both of GumGum, present the “Creating Efficient, Flexible and Scalable Cloud Computer Vision Applications: An Introduction” tutorial at the May 2019 Embedded Vision Summit. Given the growing utility of computer vision applications, how can you deploy these services in high-traffic production environments? Sant
If you live in (or near) Cambridge, Massachusetts, the Boston Imaging and Vision Meetup Group would like to invite you to a series of talks taking place on the evening of Wednesday, October 16. Presentations include: "Advanced AI Solution for Medical Device" by Ron Soferman, CEO of RSIP Vision, who will share his experience on
Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.
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