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.
Engineers at Fuel Cell Energy have found a way to take advantage of a side reaction, unique to their carbonate fuel cell that has nothing to do with energy production, as a potential, cost-effective solution to capturing carbon from fossil fuel power plants.
To get to a trillion sensors in the IoT that we all look forward to, there are many challenges to commercialization that still remain, including interoperability, the lack of standards, and the issue of security, to name a few.
This is part one of an article discussing the University of Washington’s nationally ranked FSAE electric car (eCar) and combustible car (cCar). Stay tuned for part two, tomorrow, which will discuss the four unique PCBs used in both the eCar and cCars.
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