Visual markers, or fiducials, have become one of the most common methods of camera pose estimation in Augmented Reality (AR) media. Many present day fiducial-based AR systems use arbitrary patterns, such as simple line drawings or alpha-numeric characters, and require that an application be "trained" to recognize its pattern set. These techniques work well on a small scale, but as the number of fiducials grows, accuracy and performance degrade. We describe a new fiducial design called TriCodes that, like a barcode, provides a systematic way of printing and identifying a vast library of patterns. We compare TriCodes to the popular ARToolkit package, demonstrating its advantages in the presence of large numbers of fiducials.