A press release from MIT describes computer
vision/image analysis work on detecting subtle frame-to-frame variations.
Along with an impressive video, some interesting application areas are
proposed.
Chief among these is the idea of
non-contact heart rate monitoring, such as in hospital neo-natal units, but my
thoughts are not quite so noble. I wonder if this technology – described as
“motion amplification” – has process control applications.
Could we for instance, watch a fluid
passing through a solid tube, or how about monitoring a paper web or cotton
thread? In all of these, small changes could be a precursor to some larger
failure, so early detection could save both time and money.
Or another idea: the MIT researchers
say, “if the range of frequencies is wide enough, the system can amplify
changes that occur only once. So, for instance, it could be used to compare
different images of the same scene, allowing the user to easily pick out
changes that might otherwise go unnoticed.”
In which case, could this technique
be used to inspect woven materials? If it were possible to detect subtle
changes in the thread or the woven material a lot of waste might be avoided.
In short, interesting work that I
think has application in the world of machine vision.
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