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Looking at healthcare delivery with an eye to the future, accurate patient and staff identification in hospitals is becoming more and more crucial. Traditional identification methods often turn out to be error-prone, which is too high a price to pay when it comes to our health. With that in mind, ELEKS created a powerful, cost-effective solution for identifying patients and staff in U.S. medical centers. After project success, the product functionalities were expanded to reach new global markets targeted at employee time and attendance tracking, payroll and insurance verification.
Global biometric systems provider
Healthcare, Banking, Insurance, Accounting, HR Management
The challenge was to develop a solution to identify individuals by iris scans in hospitals and other organizations.
C++, QT, VideoCapX, Microsoft Visual Studio 2010, 2013
ELEKS has developed a versatile cluster-based ID solution making it ideal for a wide range of fields. Based on iris recognition technology, the solution serves as an easy-to-use and reliable means of authentication and identification of individuals.
Using the classic Daugman theory, the ELEKS team has developed and supported a powerful tool for positive iris identification of an individual. The eye-capturing solution implemented through the developing Software Development Kit can be used by third-party components such as cameras. The system works with a number of the most popular cameras that can be easily increased.
Currently, the product is Windows-oriented, but to offer more flexibility, we have started developing a cross-platform solution. ELEKS’ team plans to release an ARM-based version of the system that ensures energy- and cost-efficient advantages.
The solution has been delivered in several stages, specifically: