Korean hospital implements CMITech’s biometric iris recognition

Korean hospital implements CMITech’s biometric iris recognition

CMITech’s dual iris recognition technology has been deployed by the Hallym University Medical Center hospital in Anyang, Korea for biometric access management, the company announced.

The measure is compliant with 2019 government regulations specifying that “the name of the person entering the surgery room, the delivery room, and the intensive care unit and the purpose of access should be kept and stored.” As a result, the technology and the CMID Manager access control software drew the interest of hospitals in the country.

CMITech’s EF-45 solution is touchless, which makes it an ideal solution for access control identification amid COVID-19. The company points out that the World Health Organization has advised healthcare organizations to keep track of patient visitors and staff entering their room to contain the virus.

To be identified, users have to place their face in the center of the capture zone located in the front-facing display, and move toward the system. The process resembles that of selfies. EF-45 is intuitive and operates with minimal training. Iris image acquisition and processing are performed on-board.

Hallym University Medical Center (HUMC) has a network of five general hospitals in Korea, processes some 3,100 patient beds and employs 5,689 employees, including 638 medical professors. EF-45 is installed at the C.C.U, NCU, delivery room and emergency room, and has processed over 3,000 hospital workers.

The market for iris recognition was forecast to grow at a rapid 18 percent CAGR from 2019 to 2024 even before the pandemic motivated new healthcare implementations and consideration of contactless authentication technologies.

Related Posts

Article Topics

 |   |   |   |   |   | 

Comments

Leave a Reply

This site uses Akismet to reduce spam. Learn how your comment data is processed.

Most Read This Week

Featured Company

Biometrics Research

Biometrics White Papers

Biometrics Events

Explaining Biometrics