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Example: Bardcodes

Any image/photo entering the Free Form language computational container is immediately processed for:

  • Any faces? if yes, highlight and cutout the facial regions and compute them (their properties).
  • Any barcodes or qr-codes? if yes, highlight the barcode regions and read them.
  • Any texts? if yes, OCR the image.
  • Add the necessary post-processing e.g. image annotations
  • Finally collect at the resulting metadata tags and contents (to be hashed) ⚲ and URL export as String

AdobeStock_738912-1536x1024-2985424236.jpg


//symbol to process barcodes and qrcodes;
𝄃𝄃𝄂𝄀𝄁𝄃𝄂;

🔐;

//add name and other information;
⛓️ ( 
𖤘"first name"->"dara" 
𖤘"last name"->"shayda" 
);

show "𝄃𝄃𝄂𝄀𝄁𝄃𝄂/index";

show "𝄃𝄃𝄂𝄀𝄁𝄃𝄂/bartexts";

save as blox_qr;

Output

"𝄃𝄃𝄂𝄀𝄁𝄃𝄂/index"

blox_qr.png

"𝄃𝄃𝄂𝄀𝄁𝄃𝄂/bartexts"

{"065656915641", "065515000037", "9771468413022", "037000377085", "8435039118747"}

qr-codes or bar-codes bounding box scanning area

Any geometrical information pertinent to full understanding and computational access for a region of an image or a recognized object is computed and place in appropriate JSON structures.

"𝄃𝄃𝄂𝄀𝄁𝄃𝄂/boxes"

[

[

[

4.295e2,

7.305e2

],

[

8.395e2,

9.105e2

]

],

[

[

1.395e2,

3.925e2

],

[

2.745e2,

8.205e2

]

],

[

[

9.805e2,

3.085e2

],

[

9.855e2,

5.805e2

]

],

[

[

1.1775e3,

5.555e2

],

[

1.2515e3,

9.075e2

]

],

[

[

1.565e2,

2.285e2

],

[

6.365e2,

2.395e2

]

]

]