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Current Development Status of Image Recognition SW

Discussion in 'Electronic Design' started by Klaus Kragelund, Dec 21, 2013.

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  1. Hi

    Just for fun, looking into a DIY project, but which could spin off to a commercial product, I am looking into image recognition.

    For the application I would need the unit to recognize an object. The reference object would be stored in a database with a picture from different angles, and the SW would compare an observed picture to the reference images and product a percentage match figure.

    The image would not be a simple figure, but could be of different sizes andcolors, but with the same fundamental shape. The image could for example be a tree, and the system would need to determine what kind of species it was and report the match figure.

    So, knowing little of current developments, it this feasible or would that be 10 years into the future?

    NI Labwindows has image recognition SW but I thing it will only cover basicshapes

    Google has some advanced function in Google Photos:

    http://googlesystem.blogspot.dk/2013/06/how-googles-image-recognition-works..html

    But, this is in google´s realm, and they could drop that service from dayto day and that would then be a showstopper

    Any insights?

    Cheers

    Klaus
     
  2. Have you looked into OpenCV. Its fairly easy to make a wrapper for
    calls from LV. My next project is to update some old LV wrappers to
    the latest OpenCV.
    <http://opencv.org/>

    The original code is from Intel.

    Cheers
     
  3. Tim Williams

    Tim Williams Guest

    Down to the *species*?

    The gross morphological differences between phenotypes within a given
    species are almost always comparable to the gross differences between
    species. Or in other words, just because it's bushy on top and woody on
    bottom doesn't tell you what species it is. Let alone other forms, like
    some species (more than others) can be trained into, or will naturally grow
    in, a bushy or even bonzai shape. To say nothing of arborism, heh.

    Tim

    --
    Seven Transistor Labs
    Electrical Engineering Consultation
    Website: http://seventransistorlabs.com

    Hi

    Just for fun, looking into a DIY project, but which could spin off to a
    commercial product, I am looking into image recognition.

    For the application I would need the unit to recognize an object. The
    reference object would be stored in a database with a picture from different
    angles, and the SW would compare an observed picture to the reference images
    and product a percentage match figure.

    The image would not be a simple figure, but could be of different sizes and
    colors, but with the same fundamental shape. The image could for example be
    a tree, and the system would need to determine what kind of species it was
    and report the match figure.

    So, knowing little of current developments, it this feasible or would that
    be 10 years into the future?

    NI Labwindows has image recognition SW but I thing it will only cover basic
    shapes

    Google has some advanced function in Google Photos:

    http://googlesystem.blogspot.dk/2013/06/how-googles-image-recognition-works.html

    But, this is in google´s realm, and they could drop that service from day to
    day and that would then be a showstopper

    Any insights?

    Cheers

    Klaus
     
  4. RobertMacy

    RobertMacy Guest

    There are aps available right now for the blind. Use your android, or
    cellphone, to look at an object and it will tell you what the object is.
     
  5. Jasen Betts

    Jasen Betts Guest

    a dude in a callcentre identifies it and tells you (and NSA etc) what it is.
     
  6. I don't think it classifies as simple, certainly limited material is available and what I have found sofar indicates that the success ratio of the recognition engine is not that impressive
    Could be both, but I guess it would be better to have the entire object. If the algoritm splits the task up in smaller images is another matter.
    It is for a robot. So I would aquire an image, send it to the server and let the server do data crunching and return with tags describing what is present in the picture. I do not think the function can be embedded into a simple embedded platform.
    Well, I need a robot to be able to distinguish between different objects, that's the basic function

    Cheers

    Klaus
     
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