Barcode World

hiii everyone (0.<)

Now we will continue with the Barcode World challenge

After I opened the file, I was quite shocked =)) because there were too many pictures

Ok, I know it’s that much, but it’s already shocking, so let’s punch it

In this challenge there is only 1 question

Do you know the history of barcodes? (20 points)

We already know that everything is a .png file image, and if we rely on the question, we don’t understand anything, right :_)

hmm, we will search for a way to decode them

don’t forget the tag maybe it wants us to decode with python

You can view it here

right, we will use them to decode Barcode

pip install pyzbar
pip install opencv-python

ok, I understand we will have to use the cv2 lib and pyzbar lib

I wrote python code based on the example given in the website above to decode the pile of barcode world images.-.

import cv2
from pyzbar.pyzbar import decode

barcode_world = [] # Initialize the array

for i in range(1,9375):  # Run a `for` loop from 1 to 9375 to load and decode images in the `Barcode_World/` directory
    img = cv2.imread('Barcode_World/'+str(i)+'.png')  # On each iteration, read the image using the `cv2.imread()` function
    detected = decode(img)  # Use `decode()` to decode the barcodes from the image
    for barcode in detected:  # Run a `for` loop to loop through each `discovered` then add the data to the array
        barcode_world += barcode.data

out = "".join(map(chr, barcode_world))
# The map() function maps each element in `barcode_world` through the chr() function
# The chr() function is called for each element in `barcode_world`, converting those integers to the corresponding ASCII characters
# Finally `"".join()` is used to combine all the characters generated from `map(chr, barcode_world)` into one string
print(out)

Then we get an ASCII string

Now let’s decode it to text

65 32 98 97 114 99 111 100 101 32 40 97 108 115 111 32 115 112 101 108 108 101 100 32 98 97 114 32 99 111 100 101 41 32 105 115 32 97 32 109 101 116 104 111 100 32 111 102 32 114 101 112 114 101 115 101 110 116 105 110 103 32 100 97 116 97 32 105 110 32 97 32 118 105 115 117 97 108 44 32 109 97 99 104 105 110 101 45 114 101 97 100 97 98 108 101 32 102 111 114 109 46 32 73 110 105 116 105 97 108 108 121 44 32 98 97 114 99 111 100 101 115 32 114 101 112 114 101 115 101 110 116 101 100 32 100 97 116 97 32 98 121 32 118 97 114 121 105 110 103 32 116 104 101 32 119 105 100 116 104 115 32 97 110 100 32 115 112 97 99 105 110 103 115 32 111 102 32 112 97 114 97 108 108 101 108 32 108 105 110 101 115 46 32 84 104 101 115 101 32 98 97 114 99 111 100 101 115 44 32 110 111 119 32 99 111 109 109 111 110 108 121 32 114 101 102 101 114 114 101 100 32 116 111 32 97 115 32 108 105 110 101 97 114 32 111 114 32 111 110 101 45 100 105 109 101 110 115 105 111 110 97 108 32 40 49 68 41 44 32 99 97 110 32 98 101 32 115 99 97 110 110 101 100 32 98 121 32 115 112 101 99 105 97 108 32 111 112 116 105 99 97 108 32 115 99 97 110 110 101 114 115 44 32 99 97 108 108 101 100 32 98 97 114 99 111 100 101 32 114 101 97 100 101 114 115 46 32 76 97 116 101 114 44 32 116 119 111 45 100 105 109 101 110 115 105 111 110 97 108 32 40 50 68 41 32 118 97 114 105 97 110 116 115 32 119 101 114 101 32 100 101 118 101 108 111 112 101 100 44 32 117 115 105 110 103 32 114 101 99 116 97 110 103 108 101 115 44 32 100 111 116 115 44 32 104 101 120 97 103 111 110 115 32 97 110 100 32 111 116 104 101 114 32 103 101 111 109 101 116 114 105 99 32 112 97 116 116 101 114 110 115 44 32 99 97 108 108 101 100 32 109 97 116 114 105 120 32 99 111 100 101 115 32 111 114 32 50 68 32 98 97 114 99 111 100 101 115 44 32 97 108 116 104 111 117 103 104 32 116 104 101 121 32 100 111 32 110 111 116 32 117 115 101 32 98 97 114 115 32 97 115 32 115 117 99 104 46 32 50 68 32 98 97 114 99 111 100 101 115 32 99 97 110 32 98 101 32 114 101 97 100 32 111 114 32 100 101 99 111 110 115 116 114 117 99 116 101 100 32 117 115 105 110 103 32 97 112 112 108 105 99 97 116 105 111 110 32 115 111 102 116 119 97 114 101 32 111 110 32 109 111 98 105 108 101 32 100 101 118 105 99 101 115 32 119 105 116 104 32 105 110 98 117 105 108 116 32 99 97 109 101 114 97 115 44 32 115 117 99 104 32 97 115 32 115 109 97 114 116 112 104 111 110 101 115 46 32 84 104 101 32 98 97 114 99 111 100 101 32 119 97 115 32 105 110 118 101 110 116 101 100 32 98 121 32 78 111 114 109 97 110 32 74 111 115 101 112 104 32 87 111 111 100 108 97 110 100 32 97 110 100 32 66 101 114 110 97 114 100 32 83 105 108 118 101 114 32 97 110 100 32 112 97 116 101 110 116 101 100 32 105 110 32 116 104 101 32 85 83 32 105 110 32 49 57 53 49 32 40 85 83 32 80 97 116 101 110 116 32 50 44 54 49 50 44 57 57 52 41 46 32 84 104 101 32 105 110 118 101 110 116 105 111 110 32 119 97 115 32 98 97 115 101 100 32 111 110 32 77 111 114 115 101 32 99 111 100 101 91 49 93 32 116 104 97 116 32 119 97 115 32 101 120 116 101 110 100 101 100 32 116 111 32 116 104 105 110 32 97 110 100 32 116 104 105 99 107 32 98 97 114 115 46 32 72 111 119 101 118 101 114 44 32 105 116 32 116 111 111 107 32 111 118 101 114 32 116 119 101 110 116 121 32 121 101 97 114 115 32 98 101 102 111 114 101 32 116 104 105 115 32 105 110 118 101 110 116 105 111 110 32 98 101 99 97 109 101 32 99 111 109 109 101 114 99 105 97 108 108 121 32 115 117 99 99 101 115 115 102 117 108 46 32 65 110 32 101 97 114 108 121 32 117 115 101 32 111 102 32 111 110 101 32 116 121 112 101 32 111 102 32 98 97 114 99 111 100 101 32 105 110 32 97 110 32 105 110 100 117 115 116 114 105 97 108 32 99 111 110 116 101 120 116 32 119 97 115 32 115 112 111 110 115 111 114 101 100 32 98 121 32 116 104 101 32 65 115 115 111 99 105 97 116 105 111 110 32 111 102 32 65 109 101 114 105 99 97 110 32 82 97 105 108 114 111 97 100 115 32 105 110 32 116 104 101 32 108 97 116 101 32 49 57 54 48 115 46 32 68 101 118 101 108 111 112 101 100 32 98 121 32 71 101 110 101 114 97 108 32 84 101 108 101 112 104 111 110 101 32 97 110 100 32 69 108 101 99 116 114 111 110 105 99 115 32 40 71 84 69 41 32 97 110 100 32 99 97 108 108 101 100 32 75 97 114 84 114 97 107 32 65 67 73 32 40 65 117 116 111 109 97 116 105 99 32 67 97 114 32 73 100 101 110 116 105 102 105 99 97 116 105 111 110 41 44 32 116 104 105 115 32 115 99 104 101 109 101 32 105 110 118 111 108 118 101 100 32 112 108 97 99 105 110 103 32 99 111 108 111 114 101 100 32 115 116 114 105 112 101 115 32 105 110 32 118 97 114 105 111 117 115 32 99 111 109 98 105 110 97 116 105 111 110 115 32 111 110 32 115 116 101 101 108 32 112 108 97 116 101 115 32 119 104 105 99 104 32 119 101 114 101 32 97 102 102 105 120 101 100 32 116 111 32 116 104 101 32 115 105 100 101 115 32 111 102 32 114 97 105 108 114 111 97 100 32 114 111 108 108 105 110 103 32 115 116 111 99 107 46 32 84 119 111 32 112 108 97 116 101 115 32 119 101 114 101 32 117 115 101 100 32 112 101 114 32 99 97 114 44 32 111 110 101 32 111 110 32 101 97 99 104 32 115 105 100 101 44 32 119 105 116 104 32 116 104 101 32 97 114 114 97 110 103 101 109 101 110 116 32 111 102 32 116 104 101 32 99 111 108 111 114 101 100 32 115 116 114 105 112 101 115 32 101 110 99 111 100 105 110 103 32 105 110 102 111 114 109 97 116 105 111 110 32 115 117 99 104 32 97 115 32 111 119 110 101 114 115 104 105 112 44 32 116 121 112 101 32 111 102 32 101 113 117 105 112 109 101 110 116 44 32 97 110 100 32 105 100 101 110 116 105 102 105 99 97 116 105 111 110 32 110 117 109 98 101 114 46 91 50 93 32 84 104 101 32 112 108 97 116 101 115 32 119 101 114 101 32 114 101 97 100 32 98 121 32 97 32 116 114 97 99 107 115 105 100 101 32 115 99 97 110 110 101 114 44 32 108 111 99 97 116 101 100 32 102 111 114 32 105 110 115 116 97 110 99 101 44 32 97 116 32 116 104 101 32 101 110 116 114 97 110 99 101 32 116 111 32 97 32 99 108 97 115 115 105 102 105 99 97 116 105 111 110 32 121 97 114 100 44 32 119 104 105 108 101 32 116 104 101 32 99 97 114 32 119 97 115 32 109 111 118 105 110 103 32 112 97 115 116 46 91 51 93 32 84 104 105 115 32 105 115 32 116 104 101 32 102 108 97 103 32 45 32 66 52 114 99 48 100 51 95 72 49 53 55 48 114 89 46 32 84 104 101 32 112 114 111 106 101 99 116 32 119 97 115 32 97 98 97 110 100 111 110 101 100 32 97 102 116 101 114 32 97 98 111 117 116 32 116 101 110 32 121 101 97 114 115 32 98 101 99 97 117 115 101 32 116 104 101 32 115 121 115 116 101 109 32 112 114 111 118 101 100 32 117 110 114 101 108 105 97 98 108 101 32 97 102 116 101 114 32 108 111 110 103 45 116 101 114 109 32 117 115 101 46 91 50 93 32 66 97 114 99 111 100 101 115 32 98 101 99 97 109 101 32 99 111 109 109 101 114 99 105 97 108 108 121 32 115 117 99 99 101 115 115 102 117 108 32 119 104 101 110 32 116 104 101 121 32 119 101 114 101 32 117 115 101 100 32 116 111 32 97 117 116 111 109 97 116 101 32 115 117 112 101 114 109 97 114 107 101 116 32 99 104 101 99 107 111 117 116 32 115 121 115 116 101 109 115 44 32 97 32 116 97 115 107 32 102 111 114 32 119 104 105 99 104 32 116 104 101 121 32 104 97 118 101 32 98 101 99 111 109 101 32 97 108 109 111 115 116 32 117 110 105 118 101 114 115 97 108 46 32 84 104 101 105 114 32 117 115 101 32 104 97 115 32 115 112 114 101 97 100 32 116 111 32 109 97 110 121 32 111 116 104 101 114 32 116 97 115 107 115 32 116 104 97 116 32 97 114 101 32 103 101 110 101 114 105 99 97 108 108 121 32 114 101 102 101 114 114 101 100 32 116 111 32 97 115 32 97 117 116 111 109 97 116 105 99 32 105 100 101 110 116 105 102 105 99 97 116 105 111 110 32 97 110 100 32 100 97 116 97 32 99 97 112 116 117 114 101 32 40 65 73 68 67 41 46 32 84 104 101 32 118 101 114 121 32 102 105 114 115 116 32 115 99 97 110 110 105 110 103 32 111 102 32 116 104 101 32 110 111 119 45 117 98 105 113 117 105 116 111 117 115 32 85 110 105 118 101 114 115 97 108 32 80 114 111 100 117 99 116 32 67 111 100 101 32 40 85 80 67 41 32 98 97 114 99 111 100 101 32 119 97 115 32 111 110 32 97 32 112 97 99 107 32 111 102 32 87 114 105 103 108 101 121 32 67 111 109 112 97 110 121 32 99 104 101 119 105 110 103 32 103 117 109 32 105 110 32 74 117 110 101 32 49 57 55 52 46 91 52 93 32 81 82 32 99 111 100 101 115 44 32 97 32 115 112 101 99 105 102 105 99 32 116 121 112 101 32 111 102 32 50 68 32 98 97 114 99 111 100 101 44 32 104 97 118 101 32 114 101 99 101 110 116 108 121 32 98 101 99 111 109 101 32 118 101 114 121 32 112 111 112 117 108 97 114 46 91 53 93 32 79 116 104 101 114 32 115 121 115 116 101 109 115 32 104 97 118 101 32 109 97 100 101 32 105 110 114 111 97 100 115 32 105 110 32 116 104 101 32 65 73 68 67 32 109 97 114 107 101 116 44 32 98 117 116 32 116 104 101 32 115 105 109 112 108 105 99 105 116 121 44 32 117 110 105 118 101 114 115 97 108 105 116 121 32 97 110 100 32 108 111 119 32 99 111 115 116 32 111 102 32 98 97 114 99 111 100 101 115 32 104 97 115 32 108 105 109 105 116 101 100 32 116 104 101 32 114 111 108 101 32 111 102 32 116 104 101 115 101 32 111 116 104 101 114 32 115 121 115 116 101 109 115 44 32 112 97 114 116 105 99 117 108 97 114 108 121 32 98 101 102 111 114 101 32 116 101 99 104 110 111 108 111 103 105 101 115 32 115 117 99 104 32 97 115 32 114 97 100 105 111 45 102 114 101 113 117 101 110 99 121 32 105 100 101 110 116 105 102 105 99 97 116 105 111 110 32 40 82 70 73 68 41 32 98 101 99 97 109 101 32 97 118 97 105 108 97 98 108 101 32 97 102 116 101 114 32 49 57 57 53 46

A barcode (also spelled bar code) is a method of representing data in a visual, machine-readable form. Initially, barcodes represented data by varying the widths and spacings of parallel lines. These barcodes, now commonly referred to as linear or one-dimensional (1D), can be scanned by special optical scanners, called barcode readers. Later, two-dimensional (2D) variants were developed, using rectangles, dots, hexagons and other geometric patterns, called matrix codes or 2D barcodes, although they do not use bars as such. 2D barcodes can be read or deconstructed using application software on mobile devices with inbuilt cameras, such as smartphones. The barcode was invented by Norman Joseph Woodland and Bernard Silver and patented in the US in 1951 (US Patent 2,612,994). The invention was based on Morse code[1] that was extended to thin and thick bars. However, it took over twenty years before this invention became commercially successful. An early use of one type of barcode in an industrial context was sponsored by the Association of American Railroads in the late 1960s. Developed by General Telephone and Electronics (GTE) and called KarTrak ACI (Automatic Car Identification), this scheme involved placing colored stripes in various combinations on steel plates which were affixed to the sides of railroad rolling stock. Two plates were used per car, one on each side, with the arrangement of the colored stripes encoding information such as ownership, type of equipment, and identification number.[2] The plates were read by a trackside scanner, located for instance, at the entrance to a classification yard, while the car was moving past.[3] This is the flag - B4rc0d3_H1570rY. The project was abandoned after about ten years because the system proved unreliable after long-term use.[2] Barcodes became commercially successful when they were used to automate supermarket checkout systems, a task for which they have become almost universal. Their use has spread to many other tasks that are generically referred to as automatic identification and data capture (AIDC). The very first scanning of the now-ubiquitous Universal Product Code (UPC) barcode was on a pack of Wrigley Company chewing gum in June 1974.[4] QR codes, a specific type of 2D barcode, have recently become very popular.[5] Other systems have made inroads in the AIDC market, but the simplicity, universality and low cost of barcodes has limited the role of these other systems, particularly before technologies such as radio-frequency identification (RFID) became available after 1995.

Read it and you will see the flag :»

SBT{B4rc0d3_H1570rY}

goodbye, thank you for reading until now //~//