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What it does
Find print errors on photos, even if the photos are not all exactly in the same position
How I built it
Using python with numpy and opencv for image manipulation, using key point on the print to align the images and compare the pixels to an average value calculated with 1000 pictures
Challenges I ran into
align the photos, print may not be on the same place on the paper, differentiate errors from noise
Accomplishments that I'm proud of
the alignment algorithm functions quite well
What I learned
manipulate images programmatically
What's next for error finder
Noise is often interpreted instead of the actual signal
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