Location data
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Location Singapore

Medical equipment data
Health topic Child mortality
Health classification Preventative
Project data
Made? No
Replicated? No
Export to Open Know How Manifest
Page data
Part of Global Health Medical Device Compendium
Type Medical equipment, Project
SDGs Sustainable Development Goals SDG03 Good health and well-being
SDG09 Industry
innovation and infrastructure
Published by Csoyars
Published 2014
License CC BY-SA 3.0
Language English (en)
Page views 50

Problem being addressed[edit | edit source]

Each year, about 25 million infants in resource-limited settings do not receive necessary vaccinations. 2.4 million of those infants die from diseases that could have been prevented by proper vaccinations. The lack of child identification technology and medical records in low resource settings severely limits the ability for these areas to identify children that need to receive vaccines.

Detailed description of the solution[edit | edit source]

The National University of Singapore developed a biometric identification algorithm that can be loaded on to any typical cell phone. It recognizes each child’s iris and stores this as identification in a database. With just a picture of the child’s eye, complete identification and medical records can be accessed for the child. This device is low-cost and easy to use, and will ultimately allow for rapid determination of vaccination status and administration needs.

Designed by[edit | edit source]

  • Designed by: National University of Singapore, led by Lim Wee Chuan
  • Manufacturer (if different):
  • Manufacturer location: Singapore

When and where it was tested/implemented[edit | edit source]

Field testing was performed in Singapore in 2011.

Funding Source[edit | edit source]

Recipient of Grand Challenges Explorations Grant

References[edit | edit source]

Peer-reviewed publication[edit | edit source]

Other internally generated reports[edit | edit source]

National University of Singapore. (December 2011). Cell phone-based iris recognition system to help immunization programmes. Retrieved January 9, 2014 from here.

Externally generated reports[edit | edit source]

AlphaGalileo. (2011). NUS research team nets grand challenges explorations grant to develop low-cost cell phone-based iris recognition system. Retrieved January 9, 2014 from here.

IP and copyright[edit | edit source]

Approval by regulatory bodies or standards boards[edit | edit source]