11–17 of 17 posts
I tried two QR readers on the photos in the article. They did not detect the code. Would it have been much more effort for the photographer to take a photo that was scannable? Or is there just too much variance in the arrangement and no reader would actually scan it even without a photo?
I tried two QR readers on the photos in the article. They did not detect the code. Would it have been much more effort for the photographer to take a photo that was scannable? Or is there just too much variance in the arrangement and no reader would actually scan it even without a photo?
I tried two QR readers on the photos in the article. They did not detect the code. Would it have been much more effort for the photographer to take a photo that was scannable? Or is there just too much variance in the arrangement and no reader would actually scan it even without a photo?
Those which can't read the code probably use traditional thresholding to reduce the input into 0-1 first, while those which can are using some variation of https://en.wikipedia.org/wiki/Soft-decision_decoding algorithm.
It doesn't help either that the middle was blanked out, eating into the error correction budget.
I tried two QR readers on the photos in the article. They did not detect the code. Would it have been much more effort for the photographer to take a photo that was scannable? Or is there just too much variance in the arrangement and no reader would actually scan it even without a photo?
I tried two QR readers on the photos in the article. They did not detect the code. Would it have been much more effort for the photographer to take a photo that was scannable? Or is there just too much variance in the arrangement and no reader would actually scan it even without a photo?
So did Google Goggles.
We did identify a few issues with an ESRI/IBM solution, I always wondered if these techniques are being actively used in the field.
It won't fool a human analyst but since satellites often operate in mosaic mode these days and generate 10,000s of images per tasked pass CV is often used to identify objects of interest.
This QR code reminded me of this.
I tried two QR readers on the photos in the article. They did not detect the code. Would it have been much more effort for the photographer to take a photo that was scannable? Or is there just too much variance in the arrangement and no reader would actually scan it even without a photo?
Might be a problem with the combination of your monitor and your phone camera. I tried Barcode Scanner on Android, and it scanned it without a hitch. Hell, I had more trouble scanning a QR code I hand-drawn in blue on white paper...