Over the past several weeks, as regular readers may have noticed, I've mentioned the upcoming Embedded Vision Summit, managed by the Embedded Vision Alliance (for which I act as editor-in-chief). "Upcoming" is now "past," as the Embedded Vision Summit has held May 2-4 in Santa Clara, California. I plan to begin publishing videos of the event's demonstrations and presentations in a few weeks, and I'll be sure to mention content I find particularly interesting in future columns here.
To tide you over until then, I'd like to use this column to highlight some already-published content from previous Summits and other Alliance events, specifically content that relates to themes covered in my recent Vision Systems Design columns. Regarding my March 22 column, "Deep Learning for Vision Processing: The Emerging Algorithm Alternative," for example, check out:
- "Convolutional Networks: Unleashing the Potential of Machine Learning for Robust Perception Systems," from Yann LeCun, Director of AI Research at Facebook, and
- "Enabling Ubiquitous Visual Intelligence Through Deep Learning," from Ren Wu, CEO of Novumind (formerly at Baidu)
If my March 30 column, "ADAS: A Compelling Case Study of Computer Vision Success" has whetted your appetite for more info on the topic, I'd suggest a viewing of the following videos:
- "Self-Driving Cars," from Nathaniel Fairfield, Technical Lead at Google
- "Harman’s Augmented Navigation Platform—The Convergence of ADAS and Navigation," from Alon Atsmon, Vice President of Technology Strategy at Harmon International, and
- "A Vision of Safety," from Stefan Heck, Co-Founder and CEO of Nauto
For elaboration on the central theme of my April 7 column, "Computer Vision and Power Savings: An Effective Combination," see:
- "Bringing Computer Vision to the Consumer," from Mike Aldred, Electronics Lead at Dyson, and
- Aldred's demonstration of his company's 360 Eye robot vacuum cleaner
Additional insights on the focus of my April 14 column "Vision: An Essential Ingredient for Autonomy" can be found here:
- "Artificial Intelligence for Robotic Butlers and Surgeons," from Professor Pieter Abbeel of the University of California, Berkeley, and
- "Embedding Computer Vision in Everyday Life," from Mario Munich, Vice President of Advanced Development at iRobot
Further information related to "Seeing In the Dark, and Efficiently," my April 20 column, comes from:
- "Techniques for Efficient Implementation of Deep Neural Networks," from Song Han of Stanford University, and
- Movidius' and FLIR Systems' demonstration of their partnership product's capabilities
Finally, to learn more about "Image Processing: A Burgeoning Vision Opportunity", the subject of my April 27 column, see:
- "Computational Photography: An Introduction and Highlights of Recent Research," from Professor Li Zhang of the University of Wisconsin, and
- "Computational Imaging: From Research to Product," from Professor Sanjay Patel of the University of Illinois, also Co-Founder of Personify
I hope that the above has provided you with plenty to keep you busy for a while! I'll be back in two weeks with another column.
Regards,
Brian Dipert
Editor-in-Chief, Embedded Vision Alliance
[email protected]
