The Center for Automatic Identification is available to conduct research
projects on AIDC subjects. Industry sponsored projects as well as research
done by students and faculty take place in the Center's well equipped Auto ID labs.
Industry-sponsored research projects conducted at the Center include two
very comprehensive bar code symbology tests:
- The "Code 16K and Code 49 Data Integrity Test" was conducted to establish base
line reliability data for the first two-dimensional bar code symbolgies.
- The "Datamatrix and PDF 417 Data Integrity Test" was conducted to evaluate
the robustness of those two high data capacity symbologies. Results of these
tests corroborate and extend the results of previous testing by showing that
commonly used bar code symbologies are robust and that newer symbologies
that include error correction are extremely robust, with error rates shown
to be less than one in 10,000,000 characters.
Click here to view a PDF copy
of executive summary of the "Code 16K and Code 49 Data Integrity Test".
Click here to view a PDF copy
of the "Datamatrix and PDF 417 Data Integrity Test".
For any specific research project, a carefully selected team of researchers
is assembled. Because the Center is a university function, expertise can be drawn
from various departments and disciplines, for example electrical engineering,
physics, statistics, human factors, etc.
Because the Center is well equipped with representative state of the art
equipment, it is used by faculty members and graduate students in the Russ
College of Engineering and Technology to conduct research on AIDC subjects.
For example, graduate students have conducted research in voice recognition,
radio frequency data transmission, and bar coding.
