Princeton Identity Implements Biometric Iris Recognition at Eldercare Facility
Life just got easier for residents of an eldercare facility thanks to the installation of IOM Identity Systems and Access Control Readers.
ERIE, Pa. – Princeton Identity recently implemented an iris recognition system at Brevillier Village, a long term care and independent residential/retirement facility in Erie, Pennsylvania.
The system will make access control procedures easier and more convenient for residents who were having difficulty using access control keypads to move about the facility.
“Adding key cards to solve the problem was not an option because of liability/legal issues and larger-sized pin pads were only a partial solution,” says Jean LaFuria, vice president of residential services, Brevillier Village. “We were already using fingerprint technology for staff time and attendance but it was less viable for the residents, and created new concerns for accuracy and transmission of germs. After researching current technologies, we learned that iris recognition could be an ideal solution for us – it is highly accurate, non-contact, and eliminates the need to remember codes. The easy-to-use iris recognition technology from Princeton Identity was the answer for our challenges.”
Princeton Identity added two of its IOM (Identity on the Move) Walk-Through Identity systems and six IOM Access Control readers in the personal care building.
The readers are installed on doors at two heights – a lower position for those in wheelchairs and a higher position for those who can stand or use a walker.
Residents can simply glance at the iris reader without having to remove glasses or place their eyes close to the device. Authentication takes less than a second.
Brevillier Village says the staff have even enrolled in the system because of its ease of use and reliable accuracy.
“This project highlights some of the advantages of iris recognition in healthcare and assisted-living applications,” says Mark Clifton, CEO, Princeton Identity. “Many facilities need to support users with a wide range of physical limitations and challenges. Iris recognition is a great fit for these cases because it is fast and easy for users, doesn’t require a free hand, and maintains safety and security.”
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