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Prof. Gaetano Marrocco, Dr. Andrea Michel, "Radiofrequency Identification and sensing as multi-scale Internet of Everything framework: from the warehouse and the factory to the cyber-prosthesis and skin intelligence", 14-16 June 2022

16 hours (4 credits)


Aula Riunioni del Dipartimento di Ingegneria dell’Informazione, Via G. Caruso 16, Pisa - Ground Floor

To register to the course, click here

Short Abstract:

This course introduces the basics of Radiofrequency Identification technology (RFID) from its assessed application in the logistics of goods and human-machine cooperation to the most advanced research trends in bio-engineering and in predictive maintenance. Indeed, an RFID system is one of the best scalable infrastructures that can handle a single device, like an implanted sensor and a fruit, but it can, however, be indefinitely replicated to control a multitude of entities in farms and even in process of huge complexity thus becoming an unprecedented source of big-data.
The course will show how low-cost RFID devices, originally devoted to the identification as barcode evolution, can be used as sensors of temperature, humidity, gases, deformations, motion, and can be therefore combined with the emerging epidermal electronics and new bio-compatible materials. The integration of the above components is described to provide sensorized second skins and a new generation of empowered implanted prostheses (orthopedic, cardiovascular and dental) with self-diagnostic capability without using any battery. The related physical security and privacy issues will be also analyzed.
Finally, possible applications to the manufacturing factories are discussed to enable predictive analysis and the management of huge-scale processes like a pandemic emergency.
The theoretical lessons will be complemented by laboratory demonstrations and training.

Course Contents in brief:

  1. Basics on Radiofrequency Identifications (RFID)
  2. RFID for sensing
  3. Epidermal and implantable RFID devices
  4. Security and Privacy of RFID framework
  5. Applications to IoT systems: wearable devices for the human-machine interaction, predictive maintenance, food ripening, precision medicine, pandemics
  6. Laboratory demonstration and training


  1. 14/06/2022: 14:00-18:00
  2. 15/06/2022: 9:30-12:30, 14.00 -17.00
  3. 16/06/2022: 9:30-12:30, 14.00 -17.00