That is the key, isn't it, naperlou? Right now, the technology forces the driver to look down, instead of ahead. Someone needs to do a study on how long it takes your eyes to look at the display and then re-focus on the road ahead. In vehicles, I think it's always been assumed that it takes 0.4 seconds for a driver's eyes to look down at the speedometer and then return to the road. Head-up displays were able to reduce that figure. A bike, however, goes slower than a car, so the readjustment time doesn't translate to as many feet travelled.
I have a few Raspberry Pi boards... I only wish they had a little more power. Something on par with the recent Smartphones. Then the Pi would be a DIY behemoth. PIC/ARM/and Arduino dev boards still rule the roost for the most part.
Also, aside from a head's up display, I hope they add some way to project warnings on the road to alert automobile drivers. Then, they have a great HUD system for bikes..
@jmiller, you raise a good question. Perhaps the speed could just be displayed on an LCD. What is more important in cities is to see jerks behind you. Perhaps we need a rear-facing camera that flips the image right/left (as a mirror would) and displays the picture above the handle bars. Hmm, but why not just use a mirror? Maybe some value add could be brought in here using the Raspberry Pi that a mirror could not -- other sensors perhaps.
I think there are already plenty of different options that help maximize our vision and things like that. I see this and other improvements that are an effort to extend the current human abilities. Stop the bike faster than a human. Or see something that humans can't see. Make a prediction on the facts or surroundings that cause a precautionary response faster than we as humans can do it. I think it's possible but wonder about the costs and value.
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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 discussion will examine what’s possible with smart machines, and what tradeoffs need to be made to implement such a solution.