QR codes are such versatile tool in relaying information. This project is intended to examine some 'unorthodox' notions of evaluating various types of usage. The first attempt created here is combining a data set of THREE distinct QR codes into one QR code based on the significance of a color bit. In this example, a data set is split into THREE distinct chunks. These chunks are then encoded into a QR code seperately, and then merged on the color bits. For example, chunk 0 will be correlating to the red bit, chunk 1 to the green bit and chunk 2 to the blue bit. The combination should enable transmitting 3x the amount of information over the same image.
In a one liner - it combines three QR codes into one by correlating the color bits.
git clone https://www.github.com/ytisf/RainbowQR
cd RainbowQR
pip3 install -r requirements3.txtEncoding:
#!/usr/bin/env python3
import base64
from rainbowqr import RainbowQR
data = b"This is a test of the QR code decoder.\n"
data = base64.b64encode(data)
mQR = RainbowQR(qr_version=4)
qred_files = mQR.Encode(data)Decoding:
#!/usr/bin/env python3
from rainbowqr import RainbowQR
for file in qred_files:
data = mQR.Decode(file)
print(data)