Great presentation. How far down can vision be scaled? Within range of high-end MCUs?
Excellent question. Jitendra Malik of U.C. Berkeley, a luminary in vision rseearch told me that people often overestimate the resolution required for vision algorithms. Some basic funtions, like face detection, can be performed with fairly low resolution. And if you don't have fast motion, you may be able to get by with a low frame rate, too. Low resolution X low frame rate = low data rate, and now we're getting into the realm of things that can be done on relatively low-end processors -- even MCUs in some cases. Check out the CMUcam as an example of this.
New versions of BASF's Ecovio line are both compostable and designed for either injection molding or thermoforming. These combinations are becoming more common for the single-use bioplastics used in food service and food packaging applications, but are still not widely available.
For industrial control applications, or even a simple assembly line, that machine can go almost 24/7 without a break. But what happens when the task is a little more complex? That’s where the “smart” machine would come in. The smart machine is one that has some simple (or complex in some cases) processing capability to be able to adapt to changing conditions. Such machines are suited for a host of applications, including automotive, aerospace, defense, medical, computers and electronics, telecommunications, consumer goods, and so on. This radio show will show what’s possible with smart machines, and what tradeoffs need to be made to implement such a solution.