Creating a Next Generation of Machines that “See”, by Jim Beneke, Vice President, Global Technical Marketing, Avnet Electronics Marketing​

Remi El-Ouazzane, CEO Movidius (partner in EoT) will talk about ‘Low-Power Visual Intelligence’ at InsideAR, San Francisco 20 May 2015.

…By foregoing programmability and tailoring the hardware design precisely to the needs of the algorithm, chip designers can achieve optimal cost- and energy-efficiency. But in most computer vision applications, algorithms are changing fast, so programmability is essential. Full article

We’ve seen huge growth in activity among system developers who want to bring computer vision into their applications. Similar to how wireless communications has become pervasive in electronic systems over the past 10 to 15 years, embedded vision is beginning…

Fei-Fei Li: If We Want Machines to Think, We Need to Teach Them to See

“While embedded vision technology has been active for some time in markets like physical security and industrial automation, the consumer industry represents more of an emerging opportunity”, according to a recent IHS report.

All you need is an unused smartphone or wifi camera. In seconds, you can create a live sensor feed. You create alerts, by email or text. Using an API, developers can build rich and responsive applications. Zensors: Sensing Unleashed

One silver lining of the omnipresence of cameras it that the possibility of exposure can also encourage us to be a little kinder to each other

Interesting piece about machine vision in and out-of-the-factory applications