Lotus Beta directions: [req: Mozilla Firefox]
This test analyzes typical 21st century LV heat stamps for
counterfeit detection. (*)Not compatible with vintage.
Step one: Upload a LV font img.
Image does not have to be the same size as our example, but it
must not be distorted. Cropping out the LO area helps. (*) Images
should be accurately scaled to size, or img distortion may occur. (Uploader is 200x200).
Step two: Click where
the colored lines in our example indicate.
with the red line area, (the left edge of your L). Get your cursor tip right on
the L font edge. Accuracy is critical. (The closer your
cursor is to lining up with the edge, the more accurate the reading.) Then simply click.
Above your pic are colored boxes marked X and Y. If you clicked in the
X lined area, then
click on the X button to send the value into the calculator.
(If necessary, enter decimal places by hand. Sometimes a true edge lands between two numbers like
50 and 51. Neither the 50 nor 51 quite catch it. In these cases simply type in 50.5. Or whatever
decimal place seems fitting. Doing so will output highly accurate readings).
Rinse and repeat for all X and Y colors. Use the
SD button for the
X value if LV item has date code SD, made in the USA.
Step four: When you get to the box marked
Z, simply press the button marked
Set. (This is the default variable, it can be adjusted based on image clarity).
Step five: Press calculate. The results will output below.
Note: Test does not read fonts as real or fake- fakes cold have correct fonts too. Instead, we use an
accuracy rate on fonts that don't pass. Accuracy rates from
98 → 100 may be ok, (USA labels rate 98 often).
(*)Things like image distortions,
inaccurate X or Y values etc, could result
in a false negative or rate drops.
† That said, with non-distored images and accurate X and Y click values, this
test will catch many of the fake Louis Vuitton items.
†† If needed, go ahead and practice on our image to get the hang of it. Simply click on the
colored lines, and then on their matching colored X boxes, then click set, and finally calculate. If you get a pass reading you're ready to go.
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