FacePET: Enhancing bystanders’ facial privacy with smart wearables/internet of things

Alfredo J. Perez, Sherali Zeadally, Luis Y.Matos Garcia, Jaouad A. Mouloud, Scott Griffith

Research output: Contribution to journalArticlepeer-review

13 Scopus citations


Given the availability of cameras in mobile phones, drones and Internet-connected devices, facial privacy has become an area of major interest in the last few years, especially when photos are captured and can be used to identify bystanders’ faces who may have not given consent for these photos to be taken and be identified. Some solutions to protect facial privacy in photos currently exist. However, many of these solutions do not give a choice to bystanders because they rely on algorithms that de-identify photos or protocols to deactivate devices and systems not controlled by bystanders, thereby being dependent on the bystanders’ trust in these systems to protect his/her facial privacy. To address these limitations, we propose FacePET (Facial Privacy Enhancing Technology), a wearable system worn by bystanders and designed to enhance facial privacy. We present the design, implementation, and evaluation of the FacePET and discuss some open research issues.

Original languageEnglish
Article number379
JournalElectronics (Switzerland)
Issue number12
StatePublished - Dec 2018

Bibliographical note

Publisher Copyright:
© 2018 by the authors. Licensee MDPI, Basel, Switzerland.


  • Bystanders’ privacy
  • Face detection
  • Face recognition
  • Internet of things
  • Privacy enhancing technology
  • Smart glasses
  • Wearables

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Signal Processing
  • Hardware and Architecture
  • Computer Networks and Communications
  • Electrical and Electronic Engineering


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