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

//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"

"𝄃𝄃𝄂𝄀𝄁𝄃𝄂/bartexts"

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

Blockchain Certificate

"⛓️/certificate" (trimmed text)

https://www.wolframcloud.com/obj/ccn2/freeform/ff/blockchain/bloxberg2/cert_json/ff_free_blox_qr.json

There are currently 4 default mandatory items inside the hash list or the CRID and you can obtain the barcode related ones

Scanned bars as above

https://www.wolframcloud.com/obj/ccn2/freeform/ff/images/ff_free_blox_qr_bars.png

JSON containing if any other OCR texts computed from the image

https://www.wolframcloud.com/obj/ccn2/freeform/ff/images/ff_free_blox_qr_imagetext.json

See the bounding box JSON below addresses as "_boxes"

https://www.wolframcloud.com/obj/ccn2/freeform/ff/images/ff_free_blox_qr_boxes.json

The String values for the barcodes and the qrcodes

https://www.wolframcloud.com/obj/ccn2/freeform/ff/images/ff_free_blox_qr_barcodebox.json

"𝄃𝄃𝄂𝄀𝄁𝄃𝄂/⚲"

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.

Cloud Object Browser