The Automatic Identification Lab
Pioneering Research in Automatic Identification Technologies
The Automatic Identification (AutoID) Laboratory leads innovative research in technologies that power seamless tracking, authentication, and data capture. Our research explores and advances the full spectrum of AutoID systems—including barcodes, RFID, biometrics, smart cards, and beyond.
From enhancing supply chain efficiency to strengthening security systems, our work delivers practical solutions and forward-looking insights for real-world challenges. Faculty, students, and industry partners collaborate in applied research that bridges theory and practice.
This is a short video showing how the CheckPoint Systems' SmartShrink bands are able to allow for RFID tagging of retail items without the need to change the current labels on a product.
This quick video from our presentation at RFID Journal Live 2025, shows the testing setup used at the University of Memphis for data collection of RFID tags in motion as being captured by a passive real-time location system (pRTLS) for use with AI to help with the smoothing. The pRTLS system is RF Controls and the autonomous mobile robot is an Omron LD-90. Resix Robotics provided the AI support for determining if the tag was in motion or static and just experiencing location jitter.
This is the sort version of our great new RFID in Parcel exhibit in the AutoID Lab at the University of Memphis. Showcasing Avery Dennison's RFID tunnel and the atma.io cloud platform, this donation will allow the Lab to demonstrate how RFID can be used as well as providing a mechanism for students to develop solutions on real-world hardware and software.
Thanks to Avery Dennison, we have a great new RFID in Parcel exhibit in the AutoID Lab at the University of Memphis. Showcasing Avery Dennison's RFID tunnel and the atma.io cloud platform, this donation will allow the Lab to demonstrate how RFID can be used as well as providing a mechanism for students to develop solutions on real-world hardware and software.
We would like to thank Avery Dennison for their generous support of the AutoID Lab at the University of Memphis! Here is a short POV video from the box's perspective as it travels through our great new system. Enjoy!
A short video showing the robot's POV for the new RFID enabled flow rack demo that is being developed at the University of Memphis AutoID Lab. This video was made while developing a demo for RFID Journal Live 2024.
Footage of both robots running GS1 test cards
This video shows the integration of a Turck RAIN RFID reader with a Yaskawa HC10 collaborative robot via an Allen Bradley PLC using Rockwell Automation's Ethernet/IP communications standard. This video was a part of my RFID Journal Live presentation discussing the use of GS1 EPCGlobal tag data (specifically the SGTIN-198 tag data with extended attributes encoding on the tag) to sort boxes for palletizing or rework - depending on the encoded expiration dates.
This is the Lab's overview of how to implement the Ethernet/IP functionality that was added to the Zebra FX9600. This new function allows the RFID reader to communicate directly with Allen Bradley PLCs. By allowing for this communication, Zebra has made it easier to get the RFID data into the PLC so that decisions can be made there instead of on a separate computer.
The University of Memphis Automatic Identification Lab is undertaking a new research project to develop baseline information on the DotCode bar code symbology. This test will provide some of the first publicly available data on the performance of the DotCode symbology that was developed by Andy Longacre, and currently seeing an increase in adoption.
Quick video of the 2D barcode test rig
RFID Journal Live display of RFID ME using BAIT Consulting's SDK.
