About Auto-ID Lab Adelaide
The Adelaide Auto-ID Centre was opened at the University of Adelaide, Australia in 2001 with Professor Peter H. Cole as Research Director. The Adelaide Auto-ID Centre was renamed 'Auto-ID Labs at Adelaide' when the Auto-ID Centre closed officially in October 2003 and split into Auto-ID Labs and EPC global. EPC global, a joint venture between UCC and EAN, will provide on-going funding for EPC research.
The Adelaide Auto-ID Lab is a part of the Department of Electrical and Electronic Engineering, which is based within the School of Electrical and Electronic Engineering, The University of Adelaide. The Lab focuses on research and providing technical and educational services. The Lab is involved in the following activities:
- Core Research: Hardware and Software development
- Applied Research: Integration and Applications
- Technical services
- Education
History of Auto-ID Labs
Founded in 1999, the Auto-ID Center is a unique partnership between almost 100 global companies and seven of the world's leading research universities; the Massachusetts Institute of Technology in the US, the University of Cambridge in the UK, the University of Adelaide in Australia, Keio University in Japan, the University of St. Gallen in Switzerland, Fudan University in China and Daejeon ICU University in Korea. Together they are creating the standards and assembling the building blocks needed to create an "Internet of things."
Radio frequency identification (RFID) is a simple concept with enormous implications. Put a tag - a microchip with an antenna - on a can of Coke or a car axle, and suddenly a computer can "see" it. Put tags on every can of Coke and every car axle, and suddenly the world changes. No more inventory counts. No more lost or misdirected shipments. No more guessing how much material is in the supply chain - or how much product is on the store shelves.
The Auto-ID Center is designing, building, testing and deploying a global infrastructure - a layer on top of the Internet - that will make it possible for computers to identify any object anywhere in the world instantly. This network will not just provide the means to feed reliable, accurate, real-time information into existing business applications; it will usher in a whole new era of innovation and opportunity.
