Problem being addressed[edit | edit source]
The lack of accessible immunization techniques for otherwise preventable illnesses is a major cause of death in low-resource settings. Because health information networking and storage is often limited in these areas, health care workers are less likely to know when and what vaccines should be given to a specific patient at a given time.
Detailed description of the solution[edit | edit source]
The Hanseatic Institute of Technology is programming a simple biometrics program that uses a phone's camera to analyze the creases of a child's ears and feet in order to identify specific patients. These images will be sent to a central server, to which will send text messages back to parents and health care workers. The messages will include information regarding that unique patient's health and vaccination needs.
Designed by[edit | edit source]
- Designed by: Mohit Kumar of Hanseatic Institute of Technology
- Manufacturer (if different):
- Manufacturer location: Rostock, Germany
When and where it was tested/implemented[edit | edit source]
Funding Source[edit | edit source]
Recipient of Grand Challenges Explorations Grant
References[edit | edit source]
Peer-reviewed publication[edit | edit source]
A. Kumar, M. Hanmandlu, M. Kuldeep, H.M. Gupta. "Automatic Ear Detection for Online Biometric Application." Computer Vision, Pattern Recognition, Image Processing and Graphic. (2011): Pg. 146-149. Web. Retrieved January 9, 2014 from here.
Other internally generated reports[edit | edit source]
Externally generated reports[edit | edit source]
Grand Challenges in Global Health. (2012). Normal Cell Phone-Based Intelligent Biometrics for Children. Retrieved December 5, 2013 from here.
Glass Pockets (2012). Retrieved December 5, 2013 from here.