Image analysis and machine vision should be an open-source field. I don't want to re-invent the wheel in this area. I have a few applications I would love to use such tech in, but I have shied away from the task due to the daunting work in entails.
Agreed, the camera should just take pictures. The high-level work should be handled by more powerful computer systems.
One approach that is being used is distributing the processing as well. Many of the high level functions do not need to be performed at the camera level. Putting the "low level" image functions in the camera reduces the amount of data that needs to be transmitted. The systems you speak of are capable of going through feature extraction at the camera level and then communicating that higher level information to a centralized system (or a hierarichy of processors) to provide system function.
The 100% solar-powered airplane Solar Impulse 2 is prepping for its upcoming flight, becoming the first plane to fly around the world without using fuel. It's able to do so because of above-average performance by all of the technologies that go into it, especially materials.
With major product releases coming from big names like Sony, Microsoft, and Samsung, and big investments by companies like Facebook, 2015 could be the year that virtual reality (VR) and augmented reality (AR) finally pop. Here's take a look back at some of the technologies that got us here (for better and worse).
Good engineering designs are those that work in the real world; bad designs are those that don’t. If we agree to set our egos aside and let the real world be our guide, we can resolve nearly any disagreement.
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