Principal Investigator Patricia Maes
Project Website http://fluid.media.mit.edu.ezproxy.canberra.edu.au/projects/hrqr
HRQR is a visual Human and Machine Readable Quick Response Code that can replace usual 2D barcode and QR Code applications. The code can be read by humans in the same way it can be read by machines. Instead of relying on a computational error correction, the system allows a human to read the message and therefore is able to reinterpret errors in the visual image. The design is highly inspired by a 2,000 year-old Arabic calligraphy called Kufic.